Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Scientist, Algorithms - Dynamic Pricing role.

Rezi rewrites your resume against Lyft's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Scientist, Algorithms - Dynamic Pricing posting at Lyft — free, in seconds.

About the Role

The Marketplace team at Lyft is responsible for accelerating business growth and achieving key financial metrics. Dynamic Pricing & Offer Selection is integral to this, leveraging data to set prices for every ride while balancing prices and ETAs. This role involves working closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models at scale. You will leverage domain knowledge to influence roadmaps and enhance the rider and driver experience.

Responsibilities

Partner with scientists and external teams to formalize problems mathematically and within the business context.
Perform complex data analysis to understand root causes of problems.
Develop and fit statistical, machine learning, or optimization models.
Write production code and collaborate with Software Engineers to ship models.
Design and implement simulated and live experiments.
Analyze experimental and observational data to facilitate launch decisions.
Communicate findings to Product, Engineering, and executive leadership.

Requirements

Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields.
M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields.
1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role.
Passion for solving unstructured and non-standard mathematical problems.
End-to-end experience with data, including querying, aggregation, analysis, and visualization.
Proficiency with Python, or another interpreted programming language like R or Matlab.
Proficiency in SQL - able to write structured and efficient queries involving multiple large data sets.
Ability to collaborate and communicate with others to solve a problem.
Strong oral and written communication skills, and ability to collaborate with cross-functional partners.
Experience in causal inference, LTV modeling, econometrics, or user choice modeling preferred.

Skills

Machine Learning
Statistics
Economics
Quantitative analysis
Data analysis
Data visualization
Python
R
Matlab
SQL
Causal inference
LTV modeling
Econometrics
User choice modeling

Location

San Francisco area

Work Type

Hybrid
In-office (3 days per week)
Remote (up to 4 weeks per year)

Experience Level

1-4+ years (PhDs)
3-5+ years (Masters)

Education Level

M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields

Salary/Compensations

$128,000 - $160,000

Benefits

Great medical, dental, and vision insurance options with additional programs
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan with company match
Discretionary paid time off (salaried)
15 days paid time off (hourly)
18 weeks of paid parental leave
Subsidized commuter benefits
Monthly Lyft credits
Complimentary Lyft Pink membership

About the Company

Lyft's purpose is to serve and connect.
Lyft aims to cultivate a work environment where all team members belong and have the opportunity to thrive.

Equal Opportunity

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.
All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law.
We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.