At a Glance
- Tasks: Lead data-driven projects to enhance rider experiences and drive business growth.
- Company: Join Lyft, a leader in ridesharing innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and customer satisfaction.
- Why this job: Make a real impact on ridesharing through data and collaboration.
- Qualifications: 8+ years in data science with strong SQL and communication skills.
The predicted salary is between 135000 - 165000 $ per year.
Join the Rider team at Lyft as a Data Scientist Lead and make a significant impact on ridesharing through data-driven decisions.
Collaborate across departments to enhance rider experiences.
As part of the Lyft Rider team, you will analyze data to guide pivotal decisions that prioritize our customers.
You will work closely with stakeholders from product, design, engineering, and operations, providing insights that foster business growth and enhance product offerings.
Your expertise in analytics will ensure that our strategies are both influential and effective.
Key Responsibilities
- Utilize data to discover growth and efficiency opportunities
- Work with product teams to implement data-driven decisions
- Design experiments and communicate findings effectively
- Create analytical frameworks for business performance metrics
- Define key metrics to enhance rider and driver experiences
Requirements
- Quantitative degree or equivalent experience required
- At least 8 years in a relevant data science role
- Proficient in SQL for handling large datasets
- Experience with data visualization tools in Python or R
- Strong communicator for effective cross-department collaboration
Bring your passion for data and innovation to make Lyft's ridesharing experience the best it can be.
Rider Team Data Scientist Lead in Toronto employer: Lyft, Inc.
Lyft is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and collaboration is key. As a Machine Learning Engineer, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a fast-paced environment, all while contributing to meaningful projects that redefine transportation. With a strong emphasis on employee growth and development, Lyft offers numerous resources and support for your career advancement, making it an ideal place for those looking to make a significant impact.
