Who you are

- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience

- 1+ years experience in a data science role or analytics role

- Proficiency in SQL - able to write structured and efficient queries on large data sets

- End-to-end experience with data, including querying, aggregation, analysis, and visualization

- Experience in programming, especially with data science and visualization libraries in Python or R, and machine learning libraries such as PyTorch, TensorFlow, Keras

- 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

- 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

What the job involves

- Leverage data and analytic frameworks to identify opportunities for growth and efficiency

- Partner with product managers, engineers,



and operators to translate analytical insights into decisions and action, and implement products to drive business goals

- Design and analyze online experiments; communicate results and act on launch decisions

- Develop analytical frameworks to monitor business and product performance

- Establish metrics that measure the health of our products, as well as rider and driver experience

- Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations

Advantages

- Great medical, dental, and vision insurance options

- Mental health benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off

- 401(k) plan to help save for your future

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

- Pre-tax commuter benefits

- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

📌 Data Scientist (Toronto)
🏢 Lyft
📍 Toronto