# Data Scientist, Algorithms - Dynamic Pricing

**Company**: Lyft
**Location**: San Francisco, CA
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/lyft/jobs/8856443002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_76979243-f70

## Description

The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that.

We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business.

## Responsibilities:

- Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context

- Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes

- Develop and fit statistical, machine learning, or optimization models

- Write production code; collaborate with Software Engineers to ship models to production

- Design and implement both simulated and live experiments

- Analyze experimental and observational data; facilitate launch decisions

- Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership

## Experience:

- 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

## 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

- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off

- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

- Subsidized commuter benefits

- Monthly Lyft credits and complimentary Lyft Pink membership

## Skills

### Required
- Machine Learning
- Statistics
- Economics
- Python
- SQL
- Data Analysis
- Data Visualization
- Communication

### Nice to have
- Causal Inference
- LTV Modeling
- Econometrics
- User Choice Modeling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/lyft/jobs/8856443002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)