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 real-time or large-scale production settings
• Strong understanding of time series forecasting and machine learning models
• Proficiency in Python and modern ML libraries
• End-to-end experience with data analysis
• Passionate about solving complex mathematical problems

Skills

• Time series forecasting
• Machine learning model development
• Python programming
• Data analysis
• Communication skills

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match
• 12 observed holidays
• Discretionary paid time off
• 18 weeks of paid parental leave
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership