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
