Senior Data Scientist

Summary

Join HopSkipDrive's growing data science team as a Senior Data Scientist and become a strategic partner to business stakeholders. You will leverage advanced analytics to solve problems and identify opportunities, contributing significantly to the company's success. This role involves collaborating with various business units, developing and deploying predictive models, and mentoring other data professionals. HopSkipDrive offers a remote work environment and a competitive compensation package, including equity, benefits, and a flexible vacation policy.

Requirements

• 5+ years of post-graduate, hands-on experience building and deploying production quality predictive, prescriptive, or generative models, ideally in a fast-moving technology company
• Strong data acquisition skills using SQL in modern technical stacks (PostGres, AWS, Snowflake)
• 5+ years of post-graduate experience working with open source data science toolkits including Python (numpy, pandas, scikit, Polars, PySpark) or R (Tidyverse/Tidymodels) including the use of reproducible virtual environments, library management tools, and version control using Git/Github
• 3+ years experience deploying models to production environments through APIs, or batch processes
• 3+ years experience using at least TWO of the following DS methods: Supervised and Unsupervised ML (regression, classification, etc.), Econometric modeling (e.g. time-to-event/survival analysis, ARIMA/SARIMA), Reinforcement learning (e.g. multi-arm bandits for price or intervention optimization), Operations research (e.g. combinatorial optimization/ traveling salesman, linear programming)
• Excellent visualization communication skills along with demonstrated experience documenting workflows with reproducible, literate programming (Quarto preferred)
• Collaborative problem-solving skills with an entrepreneurial attitude and results-oriented mind set

Responsibilities

• Partner closely with business stakeholders from safety, marketing, sales, product, customer success and/or finance to understand and identify key opportunities to improve the product, enhance revenue, or reduce costs
• Combine DS strategies, programming expertise, and theoretical understanding of techniques to deliver predictive and prescriptive analytic solutions
• Perform in-depth statistical analyses to understand and predict complex market behaviors
• Utilize modern, open-source data scientific/AI workflows (SQL, R/Python, Github, AWS, Snowflake) to create highly accurate or explainable models
• Scope, explore, specify, test, deploy and observe accurate and stable models into production environments and own them once in production
• Demonstrate a product mindset to deliver components that can be deployed into existing products or converted into stand-alone data products
• Communicate results and model specifications to appropriate stakeholders
• Mentor, train, and assist data professionals who are engaged with data science-related work

Preferred Qualifications

Strong preference for candidates who can capably translate between Python and R

Benefits

• Equity
• Flexible vacation
• Medical, dental, vision and life insurance
• 401(k)
• FSA
• Opportunity to work for a uniquely positioned, VC-backed company in a hugely attractive space with significant upside potential
• Remote work