Director of Data Science & Analytics

Director of Data Science & Analytics

Remote/Telecommute JobREMOTE / New York, New York, USA  - Permanent
This job allows you to work remotely 


Job Description

Everyone’s got the message: machine learning is changing everything. And for Fortune 500 brands in every vertical, it’s actually true — Machine Learning (ML) predictions are solving billion-dollar, migraine problems. But for smaller brands, the talent and investment needed to build an ML platform are simply out of reach.

Founded by a team that has spent the last decade in machine learning, our mission is to help DTC brands turbocharge their growth by delivering bespoke, Fortune 500-grade ML predictions. It works out of the box, delivered as a service, and costs less than one data scientist. Integration: one click.

12 months ago, we had one DTC brand using our predictions. Now we have over 150 — including Solo Stove, the RealReal, SAKARA, Native, Keurig, and Bearaby. There are 50,000 more who haven’t heard of us yet.

Our client is seeking an experienced Director of Data Science & Analytics to join the team and help to scale the core product. You’ll have big, exciting responsibilities including coaching and mentoring the team of data scientists and product data analysts.

Further developing the data science practice, and working with the product and engineering teams to inform the future potential of the machine learning platform.

***You will:

•Coach and mentor the team of stellar Data Scientists and Product Data Analysts
•Hire top notch Data Scientists and Product Data Analysts to join the team
•Develop algorithms and predictive models to solve critical business problems
•Drive the collection of new data and the refinement of existing data sources
•Analyze and interpret the results of product experiments
•Manage work prioritization by asking the right questions
•Identify new areas of innovation
•Communicate brilliantly and develop strong relationships at all levels, internally and externally


Must Have Skills:

•Degree in math, statistics, engineering, or computer science
•8+ years of relevant experience as a Data Scientist or similar position.
•Proven track record of coaching and developing other people
•Proven track record over multiple years as an individual contributor data scientist responsible for value and viability of solutions
•Proven ability to go deep and quickly learn new domains, as well as solid understanding of all major parts of the business
•Demonstrated understanding of multiple different types of data science problems
•Experience in feature extraction/development, feature engineering and using data mining tools.
•Extensive experience solving analytical problems using quantitative approaches
•Familiarity with relational databases (SQL/PostgreSQL), as well as operational data tasks (ETL, business intelligence platforms)
•Experience in building machine learning/statistical models on large scale data with understanding of underlying ML Algorithms and ML life cycle.
•Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data.
•Experience with Apache Spark and cloud services like AWS is a plus.
•Strong passion for empirical research, good problem solving skills and organizational skills
•Detail-oriented and execution-focused approach
•Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations
•Self-motivated and flexible - with ability to work in fast paced, changing environment
•Insatiable curiosity and love of learning


Special Perks:

4 day work week. Friday's off!


Details:

Starting: ASAP







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