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Data Scientist – Decisions – Driver Experience & Segments
| Company | Lyft |
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| Location | Toronto, ON, Canada |
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| Salary | $108000 – $135000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
- 4+ years experience in a data science role or analytics role
- Proficiency in SQL – able to write structured and efficient queries on large data sets
- Experience in programming, especially with data science and visualization libraries in Python or R
- Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
- Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
Responsibilities
- Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
- Apply analytics, inference and experimentation techniques to solve business problems
- Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
- Establish metrics that measure the health of our driver products and driver experience
- Develop analytical frameworks and dashboards to monitor business and product performance
- Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
- Design and implement data pipelines to support data analysis and product implementation
Preferred Qualifications
- Experience in applying machine learning techniques a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
- Experience working with ETL pipelines a plus
