Hybrid Data Scientist: ML, Experiments & Growth

Lyft; New York (NY); Hybrid; USD 148,000 - 222,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) plan

Paid time off (PTO) for salaried; 15+‑

Paid parental leave (18 weeks)

Subsidized commuter benefits

Lyft Pink program

Job summary

Lyft is seeking a data science professional in New York, combining statistics, ML, and optimization to solve business problems. The role involves close collaboration with Engineers and Product Managers to frame problems, design experiments, and build production models.

The candidate will perform rigorous data analysis, develop predictive models, and contribute to data pipelines and production code, enabling informed launch decisions and continuous improvement across Lyft’s platforms.

Qualifications

• Master's degree required in a relevant field.
• 2 years of experience in operations research or related field.
• Experience creating metrics to track growth.
• Experience with ML, forecasting, data pipelines.

Responsibilities

• Frame problems with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem.
• Construct and fit statistical, machine learning, or optimization models.
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production.
• Design and run both simulated and live traffic experiments.
• Analyze experimental and observational data; communicate findings; facilitate launch decisions.

Skills

Metrics & analytics

Statistics & ML

Causal inference & forecasting

Production code (Python/R/MATLAB)

Experimental design & A/B testing

Education

Master's degree in Business Analytics and Information Management, Data Science, or related field

Tools

MATLAB

R

Python

Job description

Lyft is seeking a data science professional in New York, combining statistics, ML, and optimization to solve business problems. The role involves close collaboration with Engineers and Product Managers to frame problems, design experiments, and build production models.

The candidate will perform rigorous data analysis, develop predictive models, and contribute to data pipelines and production code, enabling informed launch decisions and continuous improvement across Lyft’s platforms.