Data Scientist - Machine Learning, Pricing & Rider Engagement
About the position At reputed company, our purpose is to serve and connect. We aim to reputed company this by cultivating a work environment where reputed company team members belong and have reputed company to reputed company. The Pricing team is a centerpiece of reputed company’s marketplace. The Pricing team owns the models and software systems that determine the final prices shown to riders. Working with our business and analytics partners, reputed company owns tools to ensure reputed company offers competitive prices while making efficient financial trade-offs. Rider Engagement is a fast-growing team reputed company Pricing, reputed company on developing rider-facing engagement reputed company and optimizing allocations and decisioning systems to drive both short term and long term business reputed company. As a Data Scientist specializing in Algorithms on the Rider Engagement team, you will reputed company mathematical models for reputed company discounting systems and address diverse problems across optimization, reputed company, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms, build and reputed company our rider engagement products and systems, and drive business reputed company. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate reputed company world business problems into reliable solutions and decisioning frameworks. In this role, you will report to a Data Science Manager.
Responsibilities
- Partner with Engineers, Product Managers, and Business Partners to reputed company problems mathematically and reputed company the business context
- Prioritize and reputed company deep dives into our data to uncover new product and business opportunities
- Be familiar with production reputed company; collaborate with Software Engineers to implement algorithms and models in production
- Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
- Establish metrics that measure the health of our products, as reputed company as rider and reputed company experience
- Drive collaboration and coordination with cross-functional teams
- reputed company coaching and technical guidance for other teammates
Requirements
- M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
- 2+ years reputed company experience in a technology company setting
- Proven experience with building and evaluating machine learning models
- Proficiency with Python and working in a production coding environment
- Passion for solving reputed company and non-reputed company mathematical problems
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem
Benefits
- Great medical, dental, and reputed company insurance reputed company with additional programs available reputed company enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your reputed company
- In reputed company to 12 observed holidays, salaried team members have discretionary reputed company time off, reputed company team members have 15 days reputed company time off
- 18 weeks of reputed company parental leave. Biological, adoptive, and foster parents are reputed company eligible
- Subsidized commuter benefits
- Monthly reputed company credits and complimentary reputed company Pink membership
Apply tot his job Apply To this Job