Dentsu is a modern marketing solutions company. Our mission is to help clients navigate, progress and thrive in a world of change. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology. Part of Dentsu Group, our global network comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. Some of our award-winning agencies include 360i, Carat, dentsumcgarrybowen, DEG, dentsuX, iProspect and Merkle.

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

# Applicants

“Applicants must be currently authorized to work in the U.S. on a full-time basis. No sponsorship is available for this position.”

Location to work: Must live in the USA - East Coast or Central Time Zone, only.

# Job Description: 

The Global Business Transformation & Product Rollout team for the Americas is crucial to realizing our product vision by building upon dentsu's successful and innovative technology solutions. Being a key member of this team, the Product Business Analyst will manage a number of workstreams, onboarding our clients to our products, analyzing data on the central data platform across the region, identifying trends and insights, understanding business pain points, consulting on solutions, building documentation, and supporting product development in the innovation of media advertising tools and data products across the Media Service Line in the Americas. They will review, analyze, manage, & recommend course of action across the engagements and initiatives they are leading from creation to completion. 

You need an enthusiastic, product, and client experience mindset coupled with an interest in supporting change across a vast media, data, and agency ad operations landscape in a fast-paced, energetic work environment. You will need to be both predictive and responsive to the needs and demands of our clients to ensure that exceptional experience is delivered. Additionally, you must be strategic, collaborative, and focused on ongoing improvements to drive adoption and value through these transformative new solutions. 

* Support multiple functions related to enabling data ingestion, transformation, and use 
* Perform business problem discovery and supply validation of business needs and value alongside product owners with clients to ensure a smooth migration to the new platform 
* Manage client expectations, educate them regarding the system, and guide them into a solution that substantially meets their needs, while hewing to products' functionality 
* Define and document customer business functions and product congruence. Consult with all levels to discern and document business needs and objectives, current operational procedures, problems, input and output requirements, and levels of systems access. 
* Act as a liaison amongst end-users, project managers, sponsors, developers, and product managers in the analysis, design, configuration, testing, acceptance, adoptions, and maintenance of our software. 
* Coordinate data imports and exports and create lists to support business intelligence and reporting efforts 
* Conduct ad-hoc cross-match/data join requests and reporting 
* Convert data between multiple file formats to match client requirements using tools like Excel, Notepad++, and others 
* Collect and analyze client data from a variety of sources, create summaries and reports of requested data, and perform quality assurance checks on data pulled to ensure correct and complete data sets 
* Prepare reports, recommendations, and bring solutions to the table to enhance the client experience, add efficiency, or break through barriers. Tell stories with data. 
* Engage with product, client agency teams and engineers to support both media, workflow, and data products 
* Support analytical standards across the network and ensure we are in compliance across countries and regions 
* Produce cutting edge insight to drive the offering to clients 
* Train and inspire fellow team members to deliver great results 
* Positively contribute ideas and feedback to help the team grow 

# Qualifications:

* You must be passionate about quality customer/client experience and have an empathetic, analytical, and modern product practice mindset 
* General awareness or experience in advertising or media operations & data 
* Extensive understanding of media data and experience helping clients to measure and assess their paid media activity 
* Significant experience in the product development lifecycle and commitment to test, build, learn, iterate approaches 
* Proven track record of providing valuable insight from data 
* Ability to inspire great results from team members and promote innovative work 
* Understanding of Ad Serving Technologies beneficial 
* Ability to work autonomously and take initiative 
* Must be adaptable and flexible to ensure that issues get resolved within the required timeframes 
* Be able to become a product expert and master the functionality of our media solutions platform 
* Can write technical documents including specifications, use cases, and test scripts 
* Expert in using the Microsoft Office Suite including Visio, Excel, Word, PowerPoint 
* SQL experience would be helpful 

# Minimum Qualifications: 

* 3-5 years of related work experience 
* 2+ years of media ops or data experience, particularly experience working in the media industry 
* Requirements analysis, business value assessment, organization, and communication experience 
* Working knowledge of R and Python helpful 
* Experience working with JIRA and Confluence 
* Must have excellent written and verbal communication skills 

# Benefits Include: 

* Comprehensive healthcare plans 
* FTO and family leave 
* 401k 

Python

Excel

Data Business Analyst

# Role Summary & Primary Responsibilities

The Senior Data Scientist is a full time remote role that will support the technical development and implementation of GridMatrix’s core products, including its customer facing dashboard and adaptive signal timing algorithms. The Senior Data Scientist is expected to use techniques from machine vision and perception to extract data from live video footage, find ways to use this data to optimize/tune object detection and classification algorithms, and to then use the results of those processes with applied statistical methods to calculate metrics of vehicular and pedestrian traffic flow. It would also be beneficial for the Senior Data Scientist to have experience with cloud hosting services for the streaming, processing, and storage of both unstructured and structured data.

# Basic Skill Qualifications

* 4+ YOE with object detection, classification, applied statistical methods for real world problem solving
* Previous experience with machine vision based projects
* Previous experience with data visualization for enterprise audiences
* Previous experience with cloud based development
* BA/BS from an accredited university
* MS or equivalent experience in relevant field such data science, statistics, physics, or engineering
* Machine Learning, Deep Learning, Signal processing
* Programming Languages - Python, R, SQL, C
* Fluency is both unsupervised & supervised learning models
* Reporting Structure & Internal/External Collaboration

The Senior Data Scientist will report to GridMatrix’s VP of Engineering, and work closely with its CTO, CEO, and other members of GridMatrix’s technical organization, including other Data Science and DevOps engineering staff. In addition, the Senior Data Scientist will work with GridMatrix’s technical advisory staff, which currently includes an advisor for Autonomous Vehicle Technology, an advisor for Machine Vision, and an advisor for Machine Learning & Data Science.

The Senior Data Scientist will also work closely with GridMatrix’s external engineering development teams.

# Research & Development

The Senior Data Scientist will participate in GridMatrix’s research and development activities. These will include the development of the company’s core intellectual property, as well as serving as a support for GridMatrix’s Principal Investigator as well as an independent contributor on successful grant opportunities. As a result of these activities, GridMatrix may seek to disclose resulting intellectual property in either professional publications or patent applications.

# Grant Writing

The Senior Data Scientist will contribute to grant proposal writing efforts. These contributions will include the development of grant proposal content, preliminary data gathering, and leveraging internal and external resources as necessary to submit timely and comprehensive proposals.

# External RFPs and RFQs

From time-to-time, GridMatrix may respond to requests for proposals (RFPs) and request for quotes (RFQs) issued by cities, states, or other municipalities. These RFPs and RFQs may include the opportunity for GridMatrix to supply the issuer with goods and services. Portions of these RFPs and RFQs may require technical descriptions of these goods and services. In these cases, the Senior Data Scientist may contribute to the development of original content to support GridMatrix’s timely and comprehensive response to the RFP.

# Conferences & Travel

In this role, the Senior Data Scientist may be required to travel to support GridMatrix’s business needs. These needs may include both domestic and international travel to represent the company at industry conferences and demonstrations of its technology to prospective customers and other stakeholders.

# Technical Requirement Development

The Senior Data Scientist will be expected to contribute to the production of technical requirements documents (TRDs). These TRDs will be used both to define product development and also as components of GridMatrix’s RFPs to candidate suppliers for goods and services. Not only will these TRDs allow GridMatrix to competitively source it’s purchases, they will serve as product development artifacts that can be used for future iteration and development.

# Product Development Timelines

The Senior Data Scientist will be expected to contribute to product development timelines, including highlighting expected delivery dates and technical risks.

# Equity Compensation

The Senior Data Scientist will be eligible to receive performance based equity compensation.

# Salary & Other Compensation

GridMatrix offers competitive compensation, including salary, medical, dental, vision, life insurance, company supplied computer, annual WeWork subscription, as well as a 401K plan.

Statistics

Senior Data Scientist

“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. 

We are looking for a manager to be a part of the Ads Data Science team and lead a small group of machine learning data scientists. You will work closely with engineering managers, engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong ML skills, this person has a solid business acumen and understands what is important to advertisers. 

# Responsibilities:

* You will start off with leading a team of 4-5 ML data scientists with the expectation of scaling the team to 10+ in 2022.
* You will build optimization algorithms that improve ad yields and efficiencies. Our optimization models were hugely successful in the last 12 months and as a result we are increasing our investment in this area.
* Along with building ML models, you will be a key strategic player in defining the roadmap for the ML efforts for the entire Ads Org. Your roadmap will not only achieve immediate business goals, but also dictate our long term strategy for optimization and marketplace efforts.
* Manage and nurture a team of talented Data Scientists and have a keen interest in shaping their careers.
* Some of the models we developed over the last year are CPC (cost per click), CPI (cost per install), Generalized pCVR (probability of conversion rate), ALO (Ad Level Optimization) and User Lookalikes. You will not only work on improving existing optimization models, but also develop new models from scratch for a variety of upcoming product launches.
* Build and improve Machine Learning algorithms that match ads to the most relevant users. Some of the algorithms/techniques used are Logistic Regression, Gradient Boosted Decision Trees, Random Forests, Hyperparameter tuning, Thompson Sampling, Monte Carlo simulations, Semantic Embedding models etc.
* Design and build a platform for rapid model iteration and feature engineering at scale. Some of our optimization models are iterated on and deployed in production every 2 weeks!
* Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
* This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data, along with working on ETLs and data aggregations.
* Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
* Work closely with our sales and marketing partners to ensure that ads are set up in a way that amplifies the benefits of your optimization models.

# What We Can Expect From You:

* Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science). 
* Proficiency in Machine Learning
* 2 years of Prior experience working as a Tech Lead or a Data Science Manager. Willing to consider candidates without prior management experience.
* 5+ years of experience in quantitative/modeling roles, preferably for a consumer-facing service/app
* Proficiency with statistical analysis and programming languages (Python, SQL)
* Understanding of experimentation and causal inference analyses
* Experience building Ads optimization models is preferred but not required

Machine learning

Data Science Manager

Stack Influence is an influencer marketing platform on a mission to connect brands with everyday people. We are a venture-backed startup featured in publications like WIRED, Business Insider, WWD and Quartz, our platform is home to one of the largest micro-influencer communities in the United States.

We're hiring for our first Data Analyst to build on our data-driven approach. This is a high leverage position. From discovery analyses to AB testing, you will be responsible for all things data in our company. You will directly partner with our 3 co-founders to improve our product and grow our marketplace business. This is a remote, full-time contractor position. Non-US citizens are encouraged to apply.

# Our Data Stack:

Spreadsheets, PostgreSQL, MongoDB, Metabase, Mixpanel, Google Analytics, Instagram, Sendgrid, Woodpecker, Performance Marketing (Google, Facebook ads), Jungle Scout, Lucky Orange, Hubspot

# Qualifications:

* 2+ years of technical skills related to data and analytics
* A previous role in analytics, growth, product management or operations departments of a software or software-enabled company
* Highly skilled at relational databases and writing complex SQL queries
* Highly skilled at Excel
* Ability to use data and metrics to back up assumptions, make recommendations, and drive actions
* Self-motivated, independent, and proactive
* Outstanding communication and presentation abilities, written and verbal

# Nice to have:

* Experience with BI Tools (Tableau,Looker,Power BI, Metabase,etc)
* Experience with Paid advertising (such as Google, Bing, Facebook, etc)
* Experience with conversion rate optimization (CRO) using A/B/Multivariate tools (such as Lucky Orange, Optimizely, Google Optimize, Hotjar, etc)
* Experience with CRMs (such as Hubspot, SalesForce, Zoho, etc)
* Javascript or Python programming skills

# Expectations and Responsibilities:

* Measure, analyze and develop a deep understanding of our product, data and customer lifecycle including acquisition, engagement and retention.
* Collaborate with our product, sales, marketing and operations teams to solve problems and identify trends and opportunities.
* Query and update data, build dashboards, and keep a watchful eye on the overall health of our marketplace
* Develop interesting insights about our marketplace and industry to drive data-driven content marketing
* Combine and leverage internal and external data from multiple sources, including web, application, email, and down-funnel
* Develop and own strategies to coordinate, execute, and analyze A/B and multivariate tests to improve operations and marketing conversion rates
* Initiate and drive projects to completion with minimal guidance
* Translate and communicate results to stakeholders, adjusting the level of technical detail as needed

Analytics

Tableau

Senior Data Analyst

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Experian Consumer Services provides credit education and identity protection solutions to consumers and helps businesses manage the impact of a data breach.  This group is divided into two divisions; the Direct-to-Consumer team provides these solutions directly to consumers while the Partner Solutions team empowers companies to provide these solutions to their consumers. 

Whether it is directly through our websites or via one of our partners, over consumers now have access to valuable credit education and identity protection solutions that help them protect their personal information.  We are also the leader in Global Data Breach services, helping businesses for over 15 years.

Job Description
For more than 125 years, Experian has unlocked the power of data to create opportunities for consumers and businesses. Today, we have an opportunity for a smart, motivated, talented Data Reporter to help grow our content marketing team.

Working with other writers and our in-house experts, you'll leverage Experian’s vast trove of data to tell stories and create visualizations in service of our team mission statement: To be consumers’ trusted guide for timely, relevant, and unbiased information about the issues that matter most to their financial health.

# As a Data Reporter, you will:

* Wrangle data from internal and external sources, analyze it, and prep for publication
* Identify topics and opportunities based on your data research and analysis that are relevant and aligned with overall company initiatives
* Plan and produce short and long-form articles
* Occasionally develop basic data visualizations to accompany written content
* Assist fellow reporters with data brainstorming, fact-checking and analysis
* Review data-driven articles written by other members of the team
* Teach and encourage best practices for handling and analyzing data
* Collaborate with various internal and external stakeholders

# Qualifications

The Data Reporter will be expected to conceptualize, outline, and draft articles on a broad spectrum of credit and personal finance related topics. The Data Reporter will be comfortable collaborating with our staff of writers, editors, compliance, and SEO specialists.

* A combination of journalistic, quantitative, and artistic skills is ideal
* At least 3+ years of writing experience, preferably for online publications in economics or a quantitative field
* Experience working on data projects in a newsroom -- or experience doing statistical or data-scientific analysis, either in academia or in another research setting
* Knowledge and interest in personal finance topics such as credit scores, credit cards, and loans as well as identity protection and cybersecurity
* Ability to handle multiple assignments within tight deadlines demonstrating strong editorial judgement
* A foundational understanding of data analysis tools, such as Microsoft Excel and Tableau. SQL and statistical software (R or Python) experience nice to have, but not required.
* Ability to share published writing samples that show previous projects and experience working on data storytelling

# Perks

* Competitive pay and comprehensive benefits package, with annual bonus target of 10%
* Three weeks of vacation to start, five sick days and two volunteer days (plus eleven paid holidays)
* Flexible work schedule and relaxed dress code
* This position will start out remote and can be 100% remote long term.

Data Reporter

ClientSolv Technologies is an IT solution firm with over a decade of experience serving Fortune 1000 companies, public sector and small to medium sized companies. ClientSolv Technologies is a woman-owned and operated company that is certified as a WMBE, 8a firm by the Federal government's Small Business Administration.

# Job Description

We are seeking a Data Analytics Manager for a direct hire/permanent role supporting an outcome-focused workflow optimization platform.  This role will be fully remote and will offer a salary and a comprehensive benefit package.  

# In this role, you will be responsible for:  

* Owning  the deliverable of process data strategy – a key value-add to clients.
* Create visualizations that convey insights that are outcome-based and actionable.
* Work closely with our engineering team to identify the type and structure of the data you need.
* Work closely with our UX team to identify where and how data should be represented throughout the application.
* Build a small team to help analyze the data and build visualizations that get integrated throughout the products.

# Qualifications

* 8+ years of business intelligence, data analytics, reporting, analytics and/or data modeling
* 5+ years develop strategies and approaches to analyzing large data sources
* Solid understand of how businesses should leverage appropriate KPIs to drive performance optimization
* Proactively provide recommendations on new data sources and metrics for future analysis
* Self-motivated and driven to accomplish company goals
* Comfortable multitasking in a fast paced, matrixed environment
* Experience building and growing an analytics team with strong functional expertise and influence while fostering a supportive learning environment
* Advanced Excel skills (macros, power query, pivots, etc.)
* A proven track record of using quantitative analysis to impact key business or product decisions

# Nice to have

* Successful track record working with remote team members
* Background in financial services technology
* MBA

# Additional Information

This direct hire/permanent role will be a remote role and will offer a salary plus benefits, such as Medical/Dental/Vision premiums covered at 100% for the employee and 50% for additional members of your family and unlimited paid time off.

Data Analytics Manager

# What We Do

Swimply is an online marketplace that allows owners of underutilized swimming pools to monetize their pools’ downtime by sharing them locally by the hour. Think Airbnb, but for swimming pools.

# How We Started

Swimply was founded by Bunim Laskin in 2019. As the eldest of 12 siblings and lacking resources for his family to escape the heat, Bunim thought of offering his neighbor financial assistance in exchange for some pool time. Before long, others in the community cut similar deals with her and she was turning a handsome profit. The rest is history.

# Our Mission

Our mission is to extend the sharing economy beyond the functional to the experiential. We will do this by building an authentic community-driven marketplace that democratizes access and enhances quality of life for the average family. Our current focus is on swimming pools but we will incrementally expand the platform to include all kinds of underutilized spaces (so long as they’re awesome).

We believe that ownership can be smarter, better, and more meaningful. Helping owners earn an income from their underutilized assets reduces the financial anxiety of ownership and simultaneously fosters community.

We envision a world in which anyone, anywhere, can access anything with the tap of a button - from their very own tennis court or swimming pool to home gyms and even music studios - regardless of their economic status.

# Where We Are Now

Swimply experienced incredible rapid growth (4,000% YoY), largely driven by customer love, word-of-mouth and robust media coverage. In just the last six months, over 3,000 pools have been listed in the US, over 45,000 transactions have been completed (up from 1,000 transactions in 2019), and over 200,000 swimmers have enjoyed a stranger's pool.

# Analytics Engineer job description

Swimply is looking for experienced analytics engineers to join our distributed engineering team. We’re looking for engineers who sit at the intersection of product, engineering, marketing, and operations.

# What you’ll do professionally:

* Build complex web and mobile applications that deliver joy and delight to millions of users.
* Partner with product engineers to instrument our end-to-end user journey and backend services.
* Develop and monitor data pipelines, and build out new integrations with external data sources.
* Collaborate with Product and Operations stakeholders to build self-serve tools for data exploration.
* Work closely with product, design, and engineering to understand product requirements, evaluate tradeoffs, and ship solutions that deliver value to customers.
* Build data solutions using our existing analytics stack of: SQL, Python, Segment, Stitch Data, DBT, Redshift, Mode Analytics, Amplitude
* Help make our team better and continue to professionally grow through contributing to code reviews, documentation and promoting best practices.

# Requirements

## What skills and experience you’ll bring:

* You have 5+ years of professional software engineering experience.
* Proficiency with schema design and data modeling.
* Experience with at least one of the modern datawarehouses (Redshift, BigQuery, or Snowflake)
* Experience with modern workflow management tools (DBT or Airflow).
* Strong experience communicating with stakeholders to manage and define business requirements.
* A history of independently leading cross-functional projects and prioritizing work based on business impact.
* Experience breaking down complex problems, documenting and building solutions, and sequencing work to ship minimum viable solutions and make iterative improvements.

## It’s even better if you:

* Have expert level experience of Python, Jupyter Notebooks, and the data science ecosystem surrounding Python.
* Have demonstrated experience of using ML to solve critical business problems.

# Benefits

Our company is fully remote, and we're assembling a team of extraordinary talent to build our community-driven marketplace. We aim to deliver meaningful income to hosts and create more happiness in the world for local communities.

# It's an excellent time to join because:

* You’ll be getting in on the ground floor to make a key impact at a consumer marketplace startup that is experiencing rocket ship growth
* You’ll play a critical role in building Swimply from the ground up, including influencing our company culture, core values, and who we end up hiring
* You’ll significantly influence the business and product roadmap as we scale
* You’ll experience massive growth opportunities as the company grows and matures
* You’ll be part of a team that is mission-driven, works hard, plays hard (generally in and around swimming pools), and is in service to our community of hosts and guests
* You’ll be working directly with the founders and an executive team that has startup experience and scaled billion dollar companies

Redshift

Analytics Engineer

At Ginger, we believe that everyone deserves access to incredible mental healthcare. Our on-demand system brings together behavioral health coaches, therapists, and psychiatrists, who work as a team to deliver personalized care, right through your smartphone. The Ginger app provides members with access to the support they need within seconds, 24/7, 365 days a year. Millions of people have access to Ginger through leading employers, health plans, and our network of partners.

Ginger has been recognized by The World Economic Forum as a Technology Pioneer and by Fast Company as one of the Most Innovative Companies in Healthcare. 

Ginger is a dynamic and fast growing startup with a forward-looking infrastructure and engineering systems landscape. Ginger operates its infrastructure in the top-class cloud IaaS and PaaS services and utilizes the best of the breed SaaS to power its business. There are many unique challenges and opportunities that are new to the industry and require creative thinking in order to balance the desire to continue to move fast and be nimble, and yet provide first-class privacy to the member's data and build unwavering trust with the members, customers and partners.

# About the role

We are looking for an experienced analyst that can immediately contribute to our product and is passionate about helping people be their best selves. You will be working closely with our data science, product, care, and customer success teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders.

# Responsibilities

* Focus on what we can do with our AI engine outputs / feature data (both to stakeholders in Looker as well as product) and what features we should consider building in ML moving forwards.
* Work with organizations in Ginger to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights. Examples include:
* Working with coaching and clinical functions to address care-related quality assurance, measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand.
* Teaming with product functions to better understand product engagement, feature use patterns, etc.
* Partner with machine learning engineers to validate and evaluate machine learning model outputs in both development and production environments, providing quantitative recommendations to stakeholders based on the evaluation.
* Realize Ginger’s data lake potential by building and prototyping analysis tooling (e.g. Looker connect with Python) that unlocks new classes or insights from varied data sources.
* Develop expertise on mental healthcare data sets and lead their modeling to enable insights.
* Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions.
* Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that helps your data customers extract, analyze, and visualize data easier and faster.
* Use appropriate tools (e.g. Python, R) to analyze and visualize data.
* Maintain and add to existing analytics infrastructure (Looker).

# Applicable Skills

* MS with 3+ years of experience (or BS with 5+ years of experience) in statistics, data science or appropriate quantitative fields.
* Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams.
* Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company.
* Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling.
* Experience in analyzing data statistically using Python (preferred), R, Julia or Scala.
* Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS).
* Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker).
* Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain.

Stilt (YC W16) is building a bank focused on 45 million immigrants in the US. Immigrants are traditionally shut out of the financial system because they lack a financial identity. We are building technology to democratize access to financial services.

Improving access to financial services for everyone, especially for the underserved and immigrants has never been more important. They contribute $1.6T to the economy, have built many $100B+ companies, and generated millions of jobs. Still, immigrants don't get the services they deserve. We are building technology to help immigrants from day 1 of their arrival. Since launch, we have helped hundreds of thousands of immigrants from 160+ countries. We are growing fast and now at an inflection point in our journey to help millions of immigrants.

We are based in San Francisco (open to remote), founded by an immigrant team with expertise in finance, technology, and machine learning. 70% of the team is immigrants and from underrepresented backgrounds. We are working hard to make financial services simple by using non-traditional data, building a modern scoring and decision engine, and improving operational efficiency.

It is a challenging and fulfilling opportunity for someone looking to make a difference in the lives of immigrants across the world. As we rewrite the approach to banking, we are looking for a Data Scientist who is experienced, knowledgeable, and believes in making this happen with us.

# Responsibilities:

* Continuously explore new alternative data sources to add incremental predictiveness in the models though orthogonal signals/features.
* Build end to end machine learning models, from design, learning, evaluation, validation & monitoring.
* Create, expand, explore, rank & maintain logs of innovative internal feature sets for credit, pricing & fraud.
* Expand the performance data using organic & synthetic methods wherever possible.
* Develop automation capabilities & advanced dashboards required for faster processing and monitoring.
* Own end to end model implementation, model iteration, model versioning, for production and sandbox environment
* Collaborate with the engineering and product teams to implement, ship, test and monitor the risk models.

# Requirements

* Quantitative Background: Bachelor’s (preferably Master’s) degree in Computer Science, Statistics, Mathematics, Financial Engineering etc.
* Programming Ability: Expert knowledge of Python or R, & SQL. Experience using cloud technologies (AWS, GCP) and distributed data/computing tools.
* Proficiency in writing and maintaining production level code. You will ship what you write.
* ML Delivery Experience: Built key ML system/s from large raw data to production & scaled, monitored & improved it over 1-3 years. Right candidate with more experience (3-6 years) can also be considered for senior position.
* Statistical Mindset: Understanding of the right tools for a given data analysis. Focussed on model selection, interpretability, biases, explainability & monitoring.
* Data Friendly: Revel in data cleaning, feature engineering & data generation.
* Clear Communicator: Able to collaborate across functions and explain difficult concepts in written, visual & verbal.
* Self Organized: Belief in data & code review/versioning, reproducible work with clear/concise documentation.
* Self Starter: Willing to quickly learn new things, test & share with the team.

# Benefits

* The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
* Competitive Compensation
* Comprehensive medical, dental, and vision coverage
* 401(k)

Data Scientist

Our work is driven by our team’s desire to be pioneers.

In 2009, we created Robots & Pencils with the then-contrarian view that mobile would be more transformative than the Internet. Turns out we were right.

Today, our thinking is rooted in the belief that, in the age of unprecedented technology acceleration, maintaining a competitive advantage requires new strategies and a focus on innovation.

Our approach has been to create a company designed to follow the talent, allowing us to amass an unfair share of hyper-skilled people who call Robots & Pencils home. A team of people who not only develop innovative solutions to transform businesses, but also create products that have been previously inconceivable.

# What are our core values?

* Strong Work Ethic
* Top Drawer
* Always Learning
* Heart
* Discipline
* Efficacy

# Robots & Pencils offers:

* We care about Talent. Hard stop.
* We do this in many ways, by offering:
* An attractive compensation package
* Excellent benefits Medical, Dental, Vision etc. (this routinely gets reviewed each year for enhancements)
* Paid stat/federal holidays, vacation and sick days
* Flexible paid stat/federal holidays (because we care about what you care about and want to celebrate our culturally diverse team!)
* R&P branded swag
* Parental & adoption leave top up / salary continuance

But we also know a job isn’t just defined by the above, so we pride ourselves in being a company that also offers: 

* A FollowTheTalent mentality -- meaning you can be located anywhere in North America and work remotely. (We have 10+ years of experience building virtual working environments WeKnowWhatWereDoing)
* A dynamic, fast-paced environment where we’re alwayslearning.
* And lastly, a team that cares about you and wants to drive the talent experience. How do we do this? Over the years we’ve hosted comedian shows, had holiday parties, happy hours, brunches with the CEO, surprise coffee runs for the team, health & wellness events and prizes, trivia nights, surprise dinners for R&P team members and their family and so much more! (And yes, we’ve prioritized a way to do these things in a virtual setting and not just in person - thank you Zoom!)

# Who you are:

* You do remarkable things and solve tough problems where many others have failed before. We are looking for people who are driven to be pioneers. If this is you -- we want to hear from you!
* You are someone who believes that insights can be mined from data and utilized to predict a user’s behavior. You love to experiment and have a strong desire to learn. You have strong opinions but that are weakly held; you are humble yet confident.
* You know the difference between Regression and Clustering, when to use Supervised vs Unsupervised Learning, and can debate the merits of dimensionality reduction using Principal component analysis. You’re not bound to any one framework, library, or tool suite and feel like you could pick up any tool or language that’s right for the job. You’re also diligent about meeting allocated budgets and can work within time constraints, but you will never sacrifice quality. 
* On top of this, you are independent, but you’re also comfortable working in cross-functional teams. You have excellent communications skills and can share insights and expectations with stakeholders, clients, team members and various levels of management.

# Job Description

* Analyze client data as well as our own data, delivering first-class statistical analyses and predictive models
* Create large labeled datasets on which to carry out various forms of supervised/unsupervised learning and model testing
* Interact with data engineers and software engineers to make algorithms scalable and production-ready
* Support sales and project managers with technical insights, leading to the creation of budgets and schedules for projects
* Share knowledge and insights with team members through lunch n’ learn programs or mentorship

# Qualifications

* Experience in software development or MS in computer science or a field related to data science
* Experience with open source statistical analysis software package such as R, Python (Pandas, NumPy, SciPy)
* Experience with big data and query tools (SQL, Spark, Hive, Hadoop)
* Experience with Cloud Technologies/Services like Azure, AWS and Google Cloud
* Experience with ML libraries, frameworks, or APIs such as TensorFlow, Caffe, Torch, Microsoft Cognitive Toolkit, SageMaker, Watson
* Familiarity with software development practices including object oriented and functional programming, testing, and continuous deployment pipelines
* Strong statistical or mathematical background, with exposure to deep/machine learning, social network analysis, or recommender systems
* Proven work experience in software development
* Experience with testing and performance optimization
* Excellent communications skills with the ability to share insights and expectations with clients, stakeholders and colleagues, both locally and remotely

Big Data

North America

# Company Description

CoEnterprise is an award-winning B2B software and professional services company headquartered in New York City. Founded in 2010, CoEnterprise delivers Data & Analytics solutions and services that transform how companies connect and do business. CoEnterprise approaches each relationship and engagement from the perspective of three core values: collaboration, ownership, and excellence. We value collaboration with both our partners and clients in order to present the best possible outcome for our customers. Our vow to accept ownership ensures that our entire staff takes pride in our work and it is our commitment to excellence that ensures that this work is at the highest standard possible.

# Job Description

CoEnterprise is seeking a talented Analytics Consultant or Analyst with Tableau experience to join its growing Big Data and Analytics Practice. The person in this role works closely with clients to understand and analyze data providing actionable insight. 

# The candidate will:

* Define and/or offer guidance on best practices during implementation and integration of Tableau
* Plan, design, and execute performance tests of platforms
* Develop and document technical architecture, system designs, performance test results, and other technical aspects of Tableau implementations
* Share best practices with the Big Data & Analytics team
* Address clients’ questions concerning data integrity
* Provide infrastructure and platform sizing for projects, including hardware and software requirements

# Qualifications

* Bachelor’s Degree in Computer Science, Information Systems, Economics, or related field with a minimum of 2 years of related experience in the use of Tableau Data Visualization software
* 2+ years’ experience programming business requirements, technical analysis and design, coding, testing, and implementations of customizations within the Tableau software environment
* 2+ years of dashboard development experience
* Strong oral and data communication skills
* Aptitude for interpreting data outputs and articulating findings to managers
* Intermediate to advanced MS Office skills (especially Word, Excel and PowerPoint)
* Knowledge of R or other statistical software and experience analyzing data is highly desirable
* Consulting experience preferred

# Additional Information

Come experience our spirited culture and work with a smart, dedicated and high-energy team in a stable and fast-growing company! Here is a small sample of the benefits and perks we offer:

* Casual dress code everyday
* Comprehensive Medical, Dental and Vision
* Matching 401k
* Generous PTO policy
* Commuter Benefits
* Happy Hours and other fun events
* Game/Break room and snacks
* Bagel Wednesdays

Position based in our New York City headquarters is in midtown conveniently located near Penn Station, Port Authority and Times Square.

Tableau Analytics

Vericast is a premier marketing solutions company that accelerates profitable revenue growth for the 70,000 businesses it serves directly by influencing consumer purchasing and transaction behavior at scale while engaging with over 120 million households daily.  Its major business units, Valassis, Harland Clarke, Save.com, and QuickPivot are recognized as leading providers of incentives, advertising, marketing services, transaction solutions, customer data and cross-channel campaign management, and intelligent media delivery that create millions of customer touch points annually for their clients.

# Job Description

Staff Data Scientist – Machine Learning & Decision Processing

Vericast is the leader in online and offline advertising technology.  As a Data Scientist at Vericast your work is central to keeping us at the forefront of the marketing technology industry.  Our data scientists focus on developing smarter data-driven technology that drives relevant messages through all marketing communication channels.

We are seeking data experts who are passionate about using cutting edge technology and data science methods to solve unique and complex problems. The ideal candidate is innately curious about how data can be used to tell a story and inform decisions. You have honed your skills through a combination of education, work experience, and hobbies.  You are excited about the complexity and challenges of creating intelligent, high performance systems while working with a highly experienced and driven data science team.

If this describes you, we are interested. You can be an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow the intelligence in our product suite.  Our day-to-day work is performed in a progressive, high-tech workspace where we focus on a friendly, collaborative and fulfilling environment.

# On any given day you’ll be…

* Implementing predictive models with rapid retraining through various ML methods
* Designing and developing interactive reports for internal and external customers for business decision making using Tableau/AWS tech stack
* Using models to provide insights into prospect and customer behavior
* Working in an HDFS/Spark environment that processes over 12 trillion calculations to decision on more than 110 billion online ads per day
* Using geo location data to track foot traffic, commercial visitation and next most likely visit to understand consumer physical behavior
* Using online behavior data to determine the primary interest categories of consumers and the web properties they visit
* Developing algorithms to optimize the setting of every lever in a high throughput real-time decision system
* Building model inference pipelines to better understand the efficacy of models in production or for compliance reporting
* Setting up and running distributed training and inference cycles using AWS Sage Maker
* Building scalable ETL pipelines using various AWS services like S3, EMR, Lambdas, etc.
* Analyzing data to better understand how a neighborhood’s consumption of web pages correlates with visits to a local big box store
* Finding the handful of outliers in billions of rows of transactional data
* Building new products with applied AI and bringing them to market

# Our ideal candidate will likely have…

* Four years working experience & desire to perform similar tasks to those listed above
* An advanced degree in a relevant, quantitative field or equivalent experience
* Firm and intuitive grasp of the math and fundamentals behind statistical and ML techniques
* Ability to grow and ultimately mentor team members of varying experience levels and competencies through data science, product and software development life cycles

# WHAT'S IN IT FOR YOU?

Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K matching and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!

# WHO WE ARE: 

Valassis, a Vericast business, is the leader in marketing technology and consumer engagement. We work with over 60,000 companies and brands in a wide array of industries, partnering to anticipate consumer intent, inspire action, and create demand. NCH Marketing Services, Inc. and Clipper Magazine are Valassis subsidiaries, and RetailMeNot Everyday™ is its consumer brand. Its signature Have You Seen Me?® program delivers hope to missing children and their families.

Staff Data Scientist

CoEnterprise is an award-winning B2B software and professional services company headquartered in New York City. Founded in 2010, CoEnterprise delivers Supply Chain and Business Analytics solutions and services that transform how companies connect and do business. CoEnterprise approaches each relationship and engagement from the perspective of three core values: collaboration, ownership, and excellence. We value collaboration with both our partners and clients in order to present the best possible outcome for our customers. Our vow to accept ownership ensures that our entire staff takes pride in our work and it is our commitment to excellence that ensures that this work is at the highest standard possible.

# Job Responsibilities and Key Activities

* Review and confirm requirements for Data Hygiene cleanup algorithm.
* Document potential use cases for data cleanup, example: missing decimal point, wrong field, mismatched units, etc.
* Analyze requirements and recommend a technical solution using Python and existing. Develop Python script to execute cleanups for identified documented use cases.
* Unit test basic functionality of each use case. Iterative testing and tuning.
* Incorporate feedback, as mutually agreed upon, into final solution build. Perform testing on sampled test datasets. Identify additional use cases if applicable from testing and incorporate into solution. Iteratively improve algorithm until success criteria is met.
* Perform user acceptance testing (UAT).  
* Create solution documentation, including functional and technical designs. Review solution documentation and walk through.

# Must Have:

* Python
* Machine Learning

# Nice-to-have Skills

* DataRobot
* Databricks
* Paxata

We are Moonshot Brands, a Y-combinator-backed company (W21). We acquire, operate, and grow profitable e-commerce brands that sell on Amazon and DTC and empower happy entrepreneurs. We know how to optimize and run these businesses better than anyone else because we’ve run and sold five of them. As entrepreneurs ourselves, we are building the acquisition process that we would have loved to experience when we sold our businesses in the past. Moonshot Brands is backed by Y-combinator and leading Silicon Valley VC funds. Our founding team members are serial entrepreneurs with 5 exits, including an online used car marketplace, Shift.com now listed on the NASDAQ and an e-commerce site, focused on home goods acquired by a private equity firm. The founders are Wharton and MIT graduates who have deep M&A, Finance, and Hedge Fund experience including Bridgewater Associates, McKinsey, and Airbnb. We are building the world’s best team to build a company by operators for operators as we know we will build the company that changes the entire e-commerce landscape and would love to add the best like-minded people to our dream-team. If you’d like to be part of this Moonshot which will be a fun fast-paced rocketship that will change the future of e-commerce brands and you think you can keep up and add significant value to our mission we’d love to hear from you.

# About The Role

Moonshot Brands is seeking a high-performing Data Scientist to support both our internal and portfolio company operations. In this role you will work to uncover patterns and generate insights by building and deploying predictive machine learning models that assist with our sourcing and optimization of portfolio company sales, marketing and operations. The candidate will have exposure across all of Moonshot’s portfolio companies and create broad top-down strategies as well as brand specific solutions based on analytical rigor. The Data Scientist will also provide perspective on Moonshot’s collection of data that will be analyzed to inform future business decisions. This role requires a high level of autonomy.

# Responsibilities

* Setting strategies for data collection, maintenance, analysis and utility of insights
* Identifying business problems to solve with data-driven approaches
* Overseeing machine learning, AI and algorithmic development that automates various aspects of our deal operations and portfolio operations workflows
* Analyzing sales, marketing, logistics and other operational data to generate insights on opportunities for improvement
* Design and implement algorithms to tackle a wide variety of datasets using open source libraries, third party API’s and in house developed algorithms
* Analyzing marketplace data to identify potential opportunities for acquisition
* Reporting on patterns and insights to cross-functional teams of M&A professionals, operators, and e-commerce brand founders
* Establish partnerships with technology and data vendors that aid in accomplishing Moonshot’s analytics strategy
* Identify opportunities for continuous improvement to processes and propose solutions to be implemented
* Foster effective dialogue with cross-functional teams to facilitate processes. Anticipate needs and challenges and provide seamless solutions
* Ensure all activities are in compliance with applicable rules, regulations, policies and procedures

# Qualifications

* 5+ years of proven experience as a Data Scientist, similar role or career progression.
* Experience working as a data scientist in CPG/Retail/e-Commerce companies
* Deep knowledge in statistics, Machine Learning and Time Series Forecasting/Analysis
* Knowledge of data management, data engineering and visualization techniques
* Experience in writing complex SQL queries and working in a multi-database environment
* Relevant scientific academic background - ability to read and implement insights from academic papers
* Knowledge in building production-ready code (Object Oriented, Design Patterns etc.) - a plus
* Experience with Big Data technologies such as Spark, Hadoop, Hive - a plus
* Experience in building NLP models incl. relationship extraction, entity extraction, topic modelling etc. - a plus
* Bachelor’s Degree in Computer Science, Engineering, or related field required
* Detail-oriented with strong analytical abilities
* Excellent mathematical, writing, verbal and computer skills
* Ability to adapt to new tasks with little notice
* Effective leadership and coaching skills
* Strong desire to win
* Sound judgement
* Deep, sophisticated understanding of accounting and finance
* Commitment to satisfying internal and external customers

Spark

Chief Data Scientist

Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software at a time.

We are looking for a Data Scientist to join our Data Science and Business Intelligence team, to work closely with the Brokerage team on fraud mitigation. Exploiting data is core to our business, and in this role you will have an opportunity to:

Enable world-class user experiences across all our products by developing and deploying models
Support the organization scaling up trading and brokerage volume by suggesting and deploying Fraud mitigation infrastructure, tools and models.. 
We are looking for a Data Scientist who can leverage data and develop models to improve how Blockchain.com operates and how we serve our customers.

# WHAT YOU WILL DO

In this role you will do some/all of:

* Develop and deploy models that improve our user experience across all areas of our product, including onboarding, fraud, engagement and delivering insights to users.
* Support the company through accurate, timely and actionable business intelligence.
* Develop risk-scoring models for users and payments
* Analyse customer behaviors, rules effectiveness, risk strategies, money laundering patterns to propose and make changes.
* Provide a frictionless onboarding experience (KYC flows, document verification, risk scoring), and multiple simplified onboarding flows.
* Work in a cross-functional team with products, data-science, compliance, customer success, frontend and backend.
* You will work on both real-time and long-term fraud modelling, monitoring and prevention.
* Identify and prevent fraud across payment methods (Cards, ACH, SEPA, Wire Transfers, crypto, etc.), products and customer segments.
* You will drive product adoption: the main focus of the risk/fraud team is to drive brokerage volume upwards by opening products to new geographies, removing payments restrictions and reaching new customer cohorts.

# WHAT YOU WILL NEED

* The foremost quality for this position or any position at Blockchain is integrity.
* Fluency in the data science tech stack, including Python (pandas, numpy, scipy, matplotlib, scikit-learn) for data science/machine learning, analytics/visualisation/BI tools, and SQL
* Experience with data engineering concepts, ETL pipelines, and working with the Google Cloud Platform
* Experience in one domain among risk/fraud detection, payments processing, KYC, fraud modeling, AML.
* Strong understanding of probability, statistics and machine learning algorithms
* Commercial mind focused on impact, ability to translate business problems into a data science roadmap, and experience productionising results
* Strong communication skills, experience working in cross-functional teams and communicating technical results to stakeholders
* The highest of standards regarding security and privacy practices to keep our users safe.
* Desire to foster a hardworking, collaborative and creative team culture in one of the most challenging and dynamic industries in tech.
* A passion for data and crypto :)

# COMPENSATION & PERKS

* Full-time salary based on experience and meaningful equity in an industry-leading company.
* The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an exciting, emerging industry.
* Unlimited vacation policy; work hard and take time when you need it.
* Remote working environment.
* Apple Equipment.

# APPLICATION

* LinkedIn profile.
* Link to github, stackoverflow, personal website and/or blog (if applicable).

Electra believes in the capabilities of data analytics and machine learning to improve the performance of batteries when the entire system the EV operates in is accounted for. In this position, you will work with colleagues deeply familiar with electric vehicle systems, laboratory data, and real-world samples in order to optimize the charging and discharging of EV battery systems.

# Responsibilities

* Using collected data from Electra partners, apply advanced statistical models and machine learning to extract and refine models such as:
* Anticipated power demand throughout an active driving cycle using route planning data
* Optimized driving velocity throughout an active driving cycle to maximize driving efficiency & battery life
* Optimal cell core temperature to minimize DC fast charge time
* Optimal current & timing for overnight charging to reduce electricity cost, extend battery life

# More

* Support in the collection & cleaning of data for model training
* Lead the integration of these models into an existing EV simulation codebase with the support of other team members
* Continuously explore novel machine learning techniques to improve the performance of the adaptive models
* Support documentation pertaining to modeling techniques and deployment
* Manage Electra internal documentation pertaining to the system modeling, its integration into the codebase, and metrics regarding the accuracy of the models.
* Lead technical writing for patents which highlight advances in battery modeling & controls
* Develop visualization tools for geospatial and temporal datasets

# Qualifications

* Master’s or PhD in a related field (e.g., CS, Operations Research, Software Engineering, Statistics)
* Strong programming skills with a solid foundation in data structures and algorithms
* Proficiency in data analysis, modeling, and web services in Python
* Proficiency in SQL relational databases and/or NoSQL databases
* Experience with statistical data analysis and machine learning such as linear models, time-series forecasting, or neural networks

# Bonus

* Passionate about sustainable transportation and innovations within the field
* Demonstrate a strong systems engineering understanding for EV and mobility applications
* Experience with Agile project development & management
* Interest in product strategy and management to plan future development
* Strong communication and preference for working in teams

At Turquoise, we're making healthcare pricing simpler, more transparent and lower cost for everyone. Have you or a family member ever gotten an MRI, or a lab, or even a straightforward surgery without knowing the cost in advance? That's bonkers, right? We're going to fix that.

We’ve already launched our consumer-facing website that allows anyone to search and compare hospital insurance rates - something never before possible. Now, we're rolling out a suite of new products for providers, payers and patients to clean up the healthcare transaction. We want to change how the industry works from the inside out.

We're a seed-stage startup backed by top VCs. More importantly, we're a multi-talented group of folks (moonlighting as authors, bass players, improv instructors, chefs, linguists and trivia buffs) with a big passion for improving healthcare. We're eager to find ambitious yet well-rounded teammates to join us on this mission.

# The Role

We’re looking for a driven, entrepreneurial candidate that's motivated to revamp healthcare's broken payment infrastructure. We value creative, outside-the-box thinkers that back their ideas with revenue cycle expertise, technical knowledge and action. This role will be a key support function for a new product line and inform product development and feature releases.

# In this role, you will:

* Create data pipelines and connect new data sources (claims, contract rates and demographics data, eg) to empower internal and external business folks
* Model payment scenarios with attention to quality, patient volume and market benchmark rates
* Distribute insights tangibly downstream through our product, reports and publications
* Apply evolving industry standard data science techniques and toolkits to your analyses
* Evaluate new data sources to incorporate into our product to improve our customer experience
* Provide client technical support as needed for our price transparency data products
* Draft internal and external technical documentation
* Fluidly meet the sporadic daily tasks of a small, growing startup
* Help build out the rest of the data team at Turquoise

# Requirements

* Bachelor’s degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
* 2+ years demonstrated experience developing custom data models and distributing them in digestible end products
* Fluency in your language of choice for analyzing large, sprawling datasets
* SQL knowledge a must
* Python experience preferred
* You are a spreadsheet master, which allows you to communicate with customers and analysts. But your work goes far beyond Excel
* Revenue cycle, healthcare payments and/or medical billing experience is a plus
* Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs. You can problem solve independently
* Expert communication of technical details in simple terms to clients and internal stakeholders
* Team player with zero ego
* Ability to work effectively in a remote environment

# Benefits

* Health Care Plan (Medical, Dental & Vision)
* Unlimited Time Off
* Family Leave (Maternity, Paternity)
* Work From Home
* Stock Option Plan

# Job Location

Turquoise Health is a fully remote company based in the US. Our founding team is located in California (San Diego) and London. We work with team members and contractors in the US and around the world, but we operate on US business hours and work with clients entirely based in the US.

For this role, we are generally seeking US-based candidates, but we are willing to consider strong candidates in other countries.

If you’re interested in working with different technologies and passionate about solving a wide variety of problems and challenges, you’ll feel right at home at Chariot. Our customers bring us in to solve their most complex problems, guide their teams on new initiatives, and provide expert technology advice.

We are proud to be a 4 time winner of Philadelphia Top Workplaces!

# We are looking for data engineers who can:

* Design, develop, debug, and optimize data pipelines that perform ELT (extract, load, transform) of various data sources (as well as ETL where appropriate)
* Develop and deploy the required infrastructure for reliable pipeline execution, especially on cloud platforms, using IaC (infrastructure as code) tools
* Design and develop data warehouses for large data sets to support business intelligence, understanding end-to-end data needs and modeling accordingly
* Understand where data lakes fit, and how to take advantage of them
* Investigate data quality issues and perform root cause analysis
* Develop supporting utilities and tools

The ability to pick up and run with new technologies is vital. Here are ones we use (deep knowledge of some but not all required):

* Python (or other high level languages)
* SQL: Postgres, MySQL, Microsoft SQL Server, etc.
* Data warehouses: AWS Redshift, Google BigQuery, Snowflake
* NoSQL: Cassandra, AWS DynamoDB, ElasticSearch, etc
* Experience with various file formats, like Parquet and Avro
* Messaging and streaming: Kafka, AWS Kinesis, Apache Flink
* ETL job orchestration, such as Airflow, Dagster, or Luigi
* Big data parallel processing such as Spark and Hadoop
* Terraform, AWS CloudFormation
* Docker and Container Orchestration
* Logging / monitoring (such as ELK, Splunk, CloudWatch, Prometheus, DataDog)

The ability to quickly understand business domains and manage changing priorities is critical. You like getting your hands dirty with data, and are passionate about turning raw, changing production data into something useful for business. You enjoy working directly with business teams and stakeholders, and are eager to be part of an area of growth for Chariot Solutions.

# About Chariot Solutions

Chariot Solutions is a consulting firm specializing in software development, systems integration, mobile application development and training. The Chariot team includes many of the top software architects in the Philadelphia area, with deep technical expertise, industry knowledge and a genuine passion for software development.

* Our consultants also love learning, writing, and speaking.
* Chariot’s blog has a wide array of articles across languages, technologies, frameworks, etc.
* We host conferences such as the Philly Emerging Tech Conference.
* We host the Chariot TechCast podcast where we interview tech luminaries and even host our own weekly DevChat shows.

# We are committed to the well-being of our employees. Here are some of our benefits

* We take care of health, dental, and vision insurance, 100% paid for you and your family
* Paid maternity, paternity and family leave
* Attend an all expenses paid tech conference of your choice every year, in addition to the Emerging Technologies for the Enterprise conference (Philly ETE)
* Opportunities to present at meetups, conferences and run workshops
* A top of the line MacBook Pro or equivalent
* Free lunch Fridays when you’re in the office (post COVID)
* Flexible Spending Account (FSA)
* 401K retirement plan
* Short and Long Term Disability
* Subsidized gym membership
* Company stock
* Must be authorized to work in the U.S.

Our team is currently 100% remote due to COVID-19. We do not plan to return to our office or client sites until it is safe to do so.

Chariot Solutions provides equal employment opportunities to all employees and applicants without regard to religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, age, ancestry, physical or mental disability, genetic information, marital status or any other classification protected by applicable local, state or federal laws.

Snowflake

Senior Data Engineer

# About Hungryroot

Hungryroot is your personal grocer, powered by AI and the belief that food deeply impacts your daily life. You tell us a little about yourself, and we deliver healthy groceries to your door each week with recipes and meal planning support. Hungryroot helps you save time, save money, shop sustainably, and eat what makes you feel your best.

# About the opportunity

We’re hiring a Data Scientist, Personalization to advance the ways that Hungryroot delivers personalized groceries and recipes to customers every week.

Today Hungryroot sends hundreds of thousands of groceries each week to customers across the country, each with their own flavor preferences, dietary restrictions, and food occasion needs. Our algorithm takes in all of these signals and balances them against our inventory of delicious, perishable food products and customers’ love for variety in what they eat. The algorithm is at the center of what enables us to be our customers' personal grocery shopper and has driven the 7x growth we've had in the past year.

We learn about each customer’s taste via explicit signals like their preference for how often they receive an individual item and their star ratings of recipes, as well as implicit signals like their retention and weekly spend. There are big opportunities for advancing the algorithm, including identifying other predictive implicit signals via regressions, collecting new explicit signals from customers, leveraging collaborative filtering, and more. We then leverage that data in a combination of integer programming, logistic regression models, and factorization machine models.

This role will primarily be focused on developing predictive models to enable our broader algorithm to choose groceries and recipes that each customer is likely to love. You'll collaborate with Engineering to productionalize your models--or productionalize them yourself, depending on your experience and interest. And you'll work with Product and Analysts to design A/B tests of the models in production, to arrive at the optimal application of your models.

# Responsibilities include, but are not limited to:

* Bring an understanding of best practices in recommendation systems, to both the backend and user-facing frontend
* Develop predictive models that can be leveraged in the algorithm to predict what customers will love
* Collaborate with Engineering to productionalize your models and monitor their performance
* Collaborate with Product & Engineering to define, deploy, and report on AB experiments that drive customer retention via personalization
* Partner with Product and Design to come up with and launch customer-centric ways of collecting new actionable signals
* Report on the performance of your work

# Requirements:

* 2+ years in data science, product management, research, or related role
* Data science toolkit including regressions, predictive modeling, R/Python
* Ability to explain complex concepts clearly
* Product & Strategy sensibilities and ability to articulate how your work rolls up to the larger strategy
* Highly detail-oriented and organized
* A love of learning and the ability to keep up with a frequently changing environment

# Bonus points for:

* Integer programming experience
* Startup experience
* D2C and/or subscription business experience
* A passion for food

# Additional Information:

* Based in our Manhattan office just south of Madison Square Park (Note: we are currently working remotely and will support remote working indefinitely)
* Reports to our VP Product
* Competitive compensation + subsidized health benefits
* Unlimited vacation policy
* Monthly Hungryroot credit
* Universal paid parental leave
* A working environment filled with passionate, happy, smart people

A/B testing

The Center for New Data (newdata.org) is dedicated to measuring and addressing disparities and inequities in society. Bringing together industry data scientists and data engineers; socially conscious tech companies and impact organizations; and data journalists and academic researchers to use data for good is key to the Center’s success in tackling pressing social problems. Examples of recent projects:

Observing Democracy program focused on measuring barriers to equitable voting access, profiled by The New York Times and cited extensively by Stacey Abrams and the NAACP.
Covid Alliance program monitoring the implications of superspreader events, profiled by the Washington Post and leveraged by public health departments across the country.
A new program in development focused on measuring social determinants of health, in partnership with HBCU research institutions.

# Nature of Work & the Ideal Candidate

The ideal candidate will be able to organize design sessions with team leaders and ensure projects are scoped and resourced for success. This role will make high-level decisions and help scale analysis, data pipelines, and data visualization efforts at the speed necessary to make timely impacts on current issues.

Oversight will include organizing and resourcing cross-functional teams in coordination with our director of partnerships and volunteer sourcing partners. You will support development of the technology roadmap in collaboration with the executive director. Experience running a cross-functional engineering organization will be helpful.

Big data engineering, ETL processing, and machine learning experience will be important, as the organization has over 2 trillion rows of data so scalability matters. Cloud-based databases like Snowflake and dimensional modeling and ETL best-practices will be applied, in order to manage the heart of the Center for New Data’s data platform.

# Strategic, Technical & Managerial Responsibilities

* The position will be influential, as it is designed to carry on the responsibilities currently managed by our organization’s founder and interim CTO.
* Supporting technical roadmap development and managing cross-team dependencies.
* Assessing the resourcing requirements of the engineering teams and working with the volunteer coordinator to ensure proper resourcing and support.
* Designing technical architecture in line with strategic planning (supported by industry-leading data engineering architect volunteers). Guides teams in anticipation of future use cases and help them make design decisions to minimize the cost of future changes.
* Works with leadership on strategic organizational plans. Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals.
* Critically review technical operations and programs, ensuring it’s appropriately broken down and prioritized across the organization.
* Managing and collaborating with high-skilled volunteers to ensure smooth implementation of projects and operation of the platform.
* Desired Leadership Qualities and Behavior

# The VP of Data Engineering role will be looked to for leadership in fostering our organization’s young culture in the following ways:

* Mentoring across the organization in an open, respectful, flexible, empathetic manner.
* Communicating in a clear, concise, effective, and audience-oriented way, ensuring teammates actively listen to others and are understood.
* Facilitating ample documentation and knowledge sharing across the organization.
* Working collaboratively to ensure technical processes align with organizational goals.
* Appetite for clean, maintainable, and tested code and ample documentation.
* A passion to shape the world through your work.

# Preferred Qualifications

The Center for New Data is dedicated to building a leadership team whose background reflects the diversity of our work. The ideal candidate brings professional experience including:

* 2+ years of data engineering management experience, ideally with distributed datasets.
* 3+ years of experience in engineering management.
* Strong communication and collaboration skills with a proven track record of success in fast-paced products, Back-End, DevOps, Data Science, and Security teams.

The ideal candidate is well versed in standard data engineering or large system design, such as:

* Airflow, Pachyderm, or equivalent modern data scheduling and execution framework, with an emphasis on best practices in Python and SQL on distributed datastores.
* Standard SQL, including advanced aspects like query optimization, indexing, common table expressions, window functions, materialized views, and the merge statement.
* Design patterns in ETL (e.g. dimensional modeling, insert vs truncate).
* Snowflake, Redshift, BigQuery, or similar large-scale distributed datastore experience.
* Cloud-heavy environments like AWS that leverage S3 and distributed file systems.
* Familiarity with DataBricks, Spark, and PySpark is a plus!

BigQuery

VP of Data Engineering

As a Data Engineer at Engage3, you will lead a technical team that architects, builds, maintains, scales, monitors, administrates and secures Engage3’s retail pricing platform. You will actively work in a multi-disciplinary fast-paced environment. Your ultimate goal is to create a solid, flexible, stable system that enables us to deliver best-in-class analytics products to retailers and brands in the face of massive growth.

This role requires a broad range of skills and abilities; you will be the functional lead, manage staff and do the work. Your primary responsibility is to enable data access, data processing and data products by architecting, maintaining, scaling, monitoring & securing.

* ML production system (AWS, Python)
* Data Warehouse (Snowflake)
* ETL system & data pipelines
* BI system (Tableau Online)

# As a qualified applicant:

* You have planned, built & managed data infrastructures in a public cloud
* You have strong experience with working with tools & platforms within the AWS ecosystem (EC2, S3, Aurora, Lambda, API Gateway, etc)
* You have in-depth experience with MySQL databases and Snowflake’s data warehouse
* You have managed a business intelligence system
* You have demonstrated experience of ETL developments
* You are proficient in at least one programming language like Python, Scala and Java
* You have familiarity with big data technologies like Hadoop, Spark, Hive
* You are comfortable with setting and meeting SLAs for data availability and quality
* You have an understanding of Machine Learning / AI principles in data engineering
* You are a mentor to your team & colleagues and have passion in sharing your knowledge
* You’ve worked in an Agile environment. You thrive on iteration. You make opportunities to bring value sooner rather than later.
* You value data-driven decisions. You are always looking for opportunities to quickly produce the right data to make decisions quickly. You keep cool under pressure.
* You are a self-driven, highly motivated technologist who can work with a high degree of autonomy, is able to prioritize effectively and drive the data architecture vision.