Data Scientist, Algorithms - Pricing - Rider Engagement at Lyft | CA, US | Rezi

Data Scientist, Algorithms - Pricing - Rider Engagement at Lyft

Data Scientist, Algorithms - Pricing - Rider Engagement

Lyft · CA, US

2 weeks ago

Data Scientist, Algorithms - Pricing - Rider Engagement

Lyft · CA, US

16 days ago
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About the Role

Data Science is central to Lyft’s products and decision-making. Data Scientists partner with cross-functional teams to address complex business challenges and develop innovative transportation solutions. This role focuses on the Pricing team, specifically within Rider Engagement, to optimize incentive offers, manage budgets, and drive business outcomes through algorithmic solutions.

Responsibilities

  • Partner with Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context.
  • Write production code and collaborate with Software Engineers to implement algorithms in live systems.
  • Develop, fit, and deploy production-grade statistical, machine learning, or optimization models.
  • Design, implement, and analyze experiments to facilitate data-driven decision making.
  • Establish metrics and methodologies to monitor product health and user/marketplace outcomes.
  • Perform deep-dive analysis to understand problems and identify new product/business opportunities.
  • Drive collaboration with cross-functional teams and communicate findings to diverse audiences, including executive leadership.

Requirements

  • M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science, or other quantitative fields.
  • 1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role within a technology company.
  • Proven experience building and evaluating optimization or machine learning models.
  • Proficiency with Python and experience in a production coding environment.
  • Passion for solving unstructured and non-standard mathematical problems.
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization.
  • Strong verbal and written communication skills, with the ability to collaborate effectively to solve problems.

Skills

  • Python
  • Machine Learning
  • Optimization
  • Statistical Modeling
  • Data Analysis
  • Data Visualization
  • Experiment Design
  • Production Coding

Location

  • San Francisco

Work Type

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

Experience Level

  • 1-4+ years (PhD)
  • 3-5+ years (Master's)

Education Level

  • Master's Degree
  • PhD

Salary/Compensations

  • $128,000 - $160,000/year

Benefits

  • Medical, dental, and vision insurance
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan
  • Discretionary paid time off (salaried)
  • 15 days paid time off (hourly)
  • 18 weeks of paid parental leave
  • Subsidized commuter benefits
  • Lyft Pink membership

About the Company

  • Lyft's purpose is to serve and connect, aiming to create a work environment where all team members belong and thrive.
  • Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.

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.