Senior Data Scientist, Algorithms, Forecasting and Realtime Optimization Platform

Responsibilities

• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context, and shape roadmaps across cross-functional teams
• Perform exploratory data analysis to gain a deeper understanding of the problem and the marketplace
• Develop, fit, and evaluate time series forecasting and machine learning models
• Write production model code; collaborate with Software Engineers to implement and scale models and algorithms in production, with attention to correctness, efficiency, consistency, and technical debt
• Design and implement both simulated backtesting and live experiments; analyze experimental and observational data, communicate findings, and facilitate launch decisions
• Define and uplevel monitoring of model and signal health; build and scale tooling that improves the efficiency of operational tasks

Requirements

• M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related work experience
• 5+ years professional experience in a technology company setting involving a product
• Proven experience with building and evaluating time series forecasting and machine learning models, ideally in real-time or large-scale production settings
• Strong grasp of core ML fundamentals — feature engineering, model evaluation, and managing the bias-variance tradeoff
• Proficiency with Python and modern ML libraries, and experience working in a production coding environment
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Passion for solving unstructured and non-standard mathematical problems
• Strong written and verbal communication; ability to align stakeholders and influence outcomes through reasoning and data

Qualifications

• Experience with time series forecasting and machine learning models in real-time or large-scale production settings
• Strong understanding of statistical methods and their application to real-world problems
• Experience with data manipulation and analysis tools such as SQL, pandas, and NumPy
• Ability to design and implement scalable and maintainable machine learning models
• Experience with cloud-based platforms and infrastructure, such as AWS or Google Cloud

Skills

• Python programming
• Time series forecasting
• Machine learning model development
• Data analysis and visualization
• Collaboration with cross-functional teams

Benefits

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• 12 observed holidays, plus discretionary paid time off for salaried team members, and 18 weeks of paid parental leave for biological, adoptive, and foster parents
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Pay

The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location.

Schedule

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.