# Skills

Data Analytics, Machine Learning, AI, Python

# Role

As a developer you will:
* Write python to parse and deal with large datasets
* Choose appropriate algorithms for ML based processing of monitoring and observability data
* Produce trends and visualizations for better observability of platforms
* Contribute to ML based alerting and predictive alerting for the platform

I realize this is somewhat vague, but I would include the likes of understanding Spark, Pandas, SQL, Hadoop/Hive in the mix as well for technical skills.

Machine learning

Algorithms

Data Scientist

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.

We are looking for an experienced Data Scientist to help develop solutions, codes and reports which solve the questions most pressing to the TV and media industry. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly work on a variety of tasks to maintain project success. As a Data Scientist you will be responsible for: coding, improving methods and efficiencies across the team, developing reports, project management, and cross team collaboration.

A Data Scientist’s day-to-day tasks would include:
* Coding original R scripts as well as optimizing current scripts for the large majority of your day
* Applying or adapting methods to new problems, and developing new tools as needed
* Working independently or collaboratively on large and complex data science problems and analyses
* Leading client projects throughout the duration of their flight and delegating tasks accordingly
* Communicating with internal stakeholders and clients to develop analytical solutions within client context
* Working with client/sales teams to build new business opportunities

# Requirements

* Bachelor's degree in a quantitative field
* 5+ years experience (or postgraduate degree(s) plus experience) in a comparable field
* 3+ years of coding and specifically 1+ years R coding
* Experience writing stable code that can be automated into larger product offerings
* Solid machine learning and/or statistical skills and intuition
* Solid understanding of sampling, weighting, biased data, overfitting, ensemble methods, survey methodology, and causal inference
* Intellectual flexibility to adapt existing tools, algorithms, methods to new needs
* Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, matplotlib, Shiny, etc.
* Experience analyzing large and messy data
* Strict integrity, able to work with confidential, private, and high-value client information
* Can balance workload across a variety of different projects over the course of a week
* Find stable threads to explore within amorphous and changing business problems
* Excellent written skills to translate results to a variety of technical and non-technical audiences through white papers; reports; and internal, external, and client-facing presentations

# Preferred Skills:

* Proficiency with SQL
* Previous experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala
* Master's degree in a quantitative field
* Experience working in analytics in the entertainment industry or in television or digital marketing
* Experience with the design and analysis of experiments
* Analysis of high-dimensional time series or event stream data
* Adapting, implementing, and scaling various machine learning techniques

# Benefits

* Comprehensive medical, dental and vision insurance for employees and their families
* Company-paid life insurance, short and long term disability
* 401k with match
* Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses
* Generous vacation, personal and sick days
* Remote work model with office space in NYC and on Long Island
* 100% paid parental and family caregiving leave
* Educational reimbursement program
* A kitchen stocked with sodas, snacks, yogurt and other goodies
* A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office
* 605 is an active participant in conferences

At Tydo, you’ll get the benefits of working directly in the consumer product world while also tackling exciting data visualization and science problems. We are meeting-lite, lean, focused, and hungry. We solve complex problems with boring solutions and build products that benefit the customer over all else. We enjoy working with each other and are excited to help Brands and their Partners grow.

We are a data first company; we load it, transform it, and tell stories with it. We’re backed by Founder’s Fund, Greylock Partners, YCombinator and top-tier eCommerce and fintech founders.

# About the Role

We are seeking a skilled Data Scientist with outstanding SQL skills to join our Analytics team. You'll play a pivotal role in our company's success by closely collaborating with top D2C Brands and Partners to create customized reporting solutions. In this role, you will leverage your expertise in data analysis, modeling, and visualization to extract insights and help customers grow their businesses. The ideal candidate possesses strong communication skills, enabling them to effectively understand client needs and present actionable insights to a diverse range of stakeholders, ultimately shaping the future growth and success of Tydo and the D2C ecosystem.

# Why the Role Is Unique

Model Complex, Real-World Problems - The highest impact data products for modern D2C businesses arise from where discrete data are joined. In this role, you’ll leverage the Tydo data platform to derive complex insights from services that businesses rely on to operate. As a data expert, you’ll also have the opportunity to research and implement solutions on novel metrics and models.

See Your Impact - You will work directly with ecommerce and product leaders in companies that are revolutionizing the consumer landscape. Unlike traditional Data Science roles, you’ll see firsthand how Brands and Partners rely on your modeling to grow their business.

Combination of DTC + SaaS - You get the best of both worlds: B2C and B2B. We aren’t your typical SaaS company in that we are catering to people who understand how to market to consumers REALLY well. So we get to be experts in both.

Inside View of Leading Companies - This role is an interesting way to get an inside view of strategies from leading DTC companies. You will get to learn from the leaders, understand trends across the industry, and become a knowledge expert in growing industries like DTC, e-commerce, analytics, performance marketing and machine learning.

# Responsibilities

* Collaborate closely with D2C brands and partners to understand their specific data and reporting requirements.
* Develop, implement, and maintain customized reporting solutions built with SQL and Python that address client needs and drive data-driven decision-making.
* Apply statistical modeling techniques to uncover hidden patterns, trends, and insights that inform business strategies.
* Create visually appealing and easy-to-understand data visualizations and dashboards for clients, including technical and non-technical stakeholders.
* Stay up-to-date with industry best practices, emerging technologies, and trends in data science, ensuring our solutions remain competitive.
* Work cross-functionally with our Product, Engineering, and Data teams to help drive data product architecture and strategy.

# About You

* 2-4 years of experience in an analytical role, having worked in a related area such as operations, finance, customer acquisition or retention.
* B.A./B.S in Math, Statistics, or related quantitative discipline.
* Located in Western US Time zone. Big plus if in West Los Angeles.
* A strong background in quantitative analysis, specifically in advanced modeling techniques to solve business problems in operations and finance, such as forecasting demand, inventory planning, and LTV and cohort analysis.
* Advanced SQL knowledge (window function, CTE, etc) as well as applied experience of statistical analysis techniques in a related field, such as financial modeling, customer segmentation, and working with discrete data sets from core business services
* You’re a strong analytical thinker with experience working with large datasets, including statistical analyses, data visualization, data mining, and data cleansing/transformation.
* You have strong project management skills and a sense of ownership over your work including monitoring and maintenance.
* You have excellent problem-solving skills and the ability to get up to speed on complex systems, break down problems, and develop rigorous quantitative POVs very quickly.
* A true self-starter, comfortable working in a fast-paced environment, managing your own priorities and adapting where challenges and opportunities are commonplace. You are enthusiastic about remote work.
* Advanced Data visualization skills in Looker or similar product is a plus.

Our team is now looking for a driven Data Engineer with strong analytical and problem-solving skills, who is self-motivated to become an expert in data services and our company’s technology products. 

We are looking for our Data Engineer to work ideally on-site in Spain (Madrid or Barcelona) but, alternatively, work in other company locations within the EU or remotely is possible.

As our Data Engineer you will combine and organize the raw data available from multiple different sources as well as build and maintain a system and pipeline for analyzing and reporting on this data. You will work with both the Technical Solutions and Analytics Teams to optimize the databases available and improve the architecture in order to enhance data flow and allow for complex analysis for different company functions. To be successful in this position you need to be a team player who thrives in a fast-paced work environment, and is comfortable making decisions independently.

# Role Responsibilities

* Analyze and organize raw data
* Combine raw information from different sources
* Create and maintain optimal data pipeline architecture
* Assemble large, complex data sets that meet functional / non-functional business requirements
* Prepare data for prescriptive and predictive modeling
* Build algorithms and prototypes
* Explore ways to enhance data quality and reliability
* Develop analytical tools and programs
* Collaborate with project managers, technology team members, and upper management

# Role Requirements – Knowledge, Skills and Abilities

* Excellent English communication skills (both written and verbal)
* Advanced working SQL knowledge, experience working with relational databases, query authoring and working familiarity with a variety of databases
* Technical expertise with data models, data mining, and segmentation techniques
* Strong analytical, problem-solving, and reasoning skills

# Role Requirements – Education and/or Experience

* Minimum Bachelor’s degree in Computer Science, or its equivalent
* Background in preparing data for analysis, KPI definition, and reporting
* Experience with scripting languages (e.g. Python, Java, C++)
* Experience hitting project deliverable dates on tight schedules and within a defined scope
* A successful history of manipulating, processing and extracting value from large disconnected datasets

# Preferred Role Requirements

* Knowledge or proficiency in BigQuery
* Knowledge or proficiency in Knime
* Knowledge or proficiency in AWS cloud computing

Data Engineer

Dealer Inspire (DI) is a leading disruptor in the automotive industry through our innovative culture, legendary service, and kick-ass website, technology, and marketing solutions. Our mission is to future-proof local dealerships by building the essential, mobile-first platform that makes automotive retail faster, easier, and smarter for both shoppers and dealers. Headquartered in Naperville, IL, our team of nearly 600 work friends are spread across the United States and Canada, pushing the boundaries and getting it done every day, together.

DI offers an inclusive environment that celebrates collaboration and thinking differently to solve the challenges our clients face. Our shared success continues to lead to rapid growth and positive change, which opens up opportunities to advance your career to the next level by working with passionate, creative people across skill sets. If you want to be challenged, learn every day, and work as a team with some of the best in the industry, we want to meet you. Apply today!

Dealer Inspire is a CARS brand. CARS includes the following brands: Cars.com, Dealer Inspire, DealerRater, FUEL, CreditIQ and Accu-Trade.

Cars.com is one of Chicago’s original tech companies. Our online platform makes it easier for consumers to shop for, sell and service their cars. With our expert content, mobile app features, millions of new and used vehicle listings, a comprehensive set of research tools and the largest database of consumer reviews in the industry, Cars.com offers innovative products to connect consumers with dealers across the country.

Data is the driver for our future at Cars. We’re searching for a collaborative, analytical, and innovative engineer to build scalable and highly performant platforms, systems and tools to enable innovations with data. If you are passionate about building large scale systems and data driven products, we want to hear from you.

# Responsibilities Include:

* Build data pipelines and deriving insights out of the data using advanced analytic techniques, streaming and machine learning at scale
* Work within a dynamic, forward thinking team environment where you will design, develop, and maintain mission-critical, highly visible Big Data and Machine Learning applications
* Build, deploy and support data pipelines and ML models into production.
* Work in close partnership with other Engineering teams, including Data Science, & cross-functional teams, such as Product Management & Product Design
* Opportunity to mentor others on the team and share your knowledge across the Cars.com organization

# Required Skills

* Ability to develop Spark jobs to cleanse/enrich/process large amounts of data.
* Experience with tuning Spark jobs for efficient performance including execution time of a job, execution memory, etc.
* Experience with dimensional data modeling concepts.
* Sound understanding of various file formats and compression techniques.
* Experience with source code management systems such as Github and developing CI/CD pipelines with tools such as Jenkins for data.
* Ability to understand deeply the entire architecture for a major part of the business and be able to articulate the scaling and reliability limits of that area; design, develop and debug at an enterprise level and design and estimate at a cross-project level.
* Ability to mentor developers and lead projects of medium to high complexity.
* Excellent communication and collaboration skills. 

# Required Experience

* Software Engineering: 3 - 5 years of designing & developing complex, batch processes at enterprise scale; specifically utilizing Python and/or Scala. 
* Big Data Ecosystem: 2+ years of hands-on, professional experience with tools and platforms like PySpark, Airflow, and Redshift.
* AWS Cloud: 2+ years of professional experience in developing Big Data applications in the cloud, specifically AWS.

# Preferred:

* Experience working with Clickstream Data
* Experience working with digital marketing data
* Experience with developing REST APIs.
* Experience in deploying ML models into production and integrating them into production applications for use.
* Experience with machine learning / deep learning using R, Python, Jupyter, Zeppelin, TensorFlow, etc.

# Responsibilities

* Evaluate and analyze statistics and trends;
* Extract data from CIMS or other databases supported by OMI to produce reports;
* Uses various query software tools to produce finished reports, statistics, and/or graphic information reflective of the subject matter;
* Analyze and evaluate data extracted for the purposes of quality assurance, quality control, and data integrity;
* Prepare procedures manuals, user guides, and technical documentation, to include but not limited to, report development documentation;
* Prepare written analyses and recommendations for the COR;
* Adhere to established procedures in the registration of reports in Business Objects Enterprise for testing and production;
* Post PDF versions of selected reports to the OMI Intranet and becoming familiar with the structure and operation of the website;
* Develop new reporting tools, views, and interfaces;       
* Train users in new applications, reporting tools or system features;
* Maintain daily work reports; and
* Manage frequent contact with the COR and other Civil Division personnel.

# Qualifications

* An undergraduate degree, preferably in computer science or management information or equivalent experience, i.e., 4 years of progressively more responsible experience in a professional analytical occupation working with relational databases for the purposes of data extraction;
* Proficient in extracting data from relational databases using various query software tools, graphic displays for data presentation, database tools, and spreadsheet software;
* proficient and experienced using SQL, T-SQL, Crystal Reports 2016, and Microsoft Access;
* Experience using HTML, ASP, and Visual Basic;
* Able to produce finished reports containing analyses, graphics, and recommendations;
* Experience using computers, including email, Word and Excel; 
* Excellent data analysis skills;                
* Able to work independently;
* Excellent written and effective oral communication skills; and
* Experience in a legal environment.