Key facts

- Location: Toronto, Canada
- Engagement: Full-time
- Salary: Competitive, commensurate with experience
- Visa: Open to international candidates

Data Science Manager, Rider Experience

About the role As a Data Science Manager focusing on Rider Experience at Lyft, you will play a pivotal role in enhancing the overall journey of our riders. You will lead a team of data scientists, guiding them to derive insights from complex datasets that will inform strategic decisions and improve service delivery. This position requires a blend of technical expertise, leadership skills, and a deep understanding of user behavior to drive initiatives that elevate the rider experience. You will collaborate closely with cross-functional teams to implement data-driven solutions that align with Lyft's mission of providing reliable and efficient transportation.

What you'll do

- Lead and mentor a team of data scientists, fostering a culture of collaboration and continuous learning.
- Develop and execute data science strategies that enhance the rider experience, focusing on user satisfaction and retention.
- Analyze large datasets to uncover trends and insights that inform product development and operational improvements.
- Collaborate with product managers and engineers to translate data findings into actionable recommendations and features.
- Design and implement machine learning models to predict rider behavior and optimize service offerings.
- Conduct A/B testing and other experimental methodologies to evaluate the impact of new features on rider satisfaction.
- Present findings and recommendations to senior leadership, translating complex data into understandable insights.




- Stay abreast of industry trends and emerging technologies in data science to ensure Lyft remains at the forefront of innovation.
- Work closely with marketing teams to develop targeted campaigns based on data-driven insights into rider preferences.
- Establish key performance indicators (KPIs) to measure the effectiveness of initiatives aimed at improving the rider experience.
- Collaborate with data engineering teams to ensure the availability and quality of data for analysis.
- Advocate for data-driven decision-making across the organization, promoting the value of analytics in enhancing rider experiences.

Requirements

- A Master's degree or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
- A minimum of 5 years of experience in data science or analytics, with a proven track record of managing teams.
- Solid proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries.
- Familiarity with machine learning frameworks and tools, such as TensorFlow or scikit-learn.
- Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
- Experience with data visualization tools like Tableau, Power BI,



or similar platforms.
- Strong analytical skills, with the ability to think critically and solve complex problems.
- A solid understanding of statistical methods and experimental design.
- Proven experience in working with large datasets and big data technologies.

Nice to have

- Experience in the transportation or ride-sharing industry, with an understanding of rider behavior and preferences.
- Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
- Knowledge of SQL and experience with database management systems.
- Previous experience in a product management role or collaborating closely with product teams.
- Familiarity with Agile methodologies and experience working in fast-paced environments.

Skills & tools

- Programming languages: Python, R
- Data visualization: Tableau, Power BI
- Machine learning frameworks: TensorFlow, scikit-learn
- Big data technologies: Hadoop, Spark
- Database management: SQL, NoSQL
- Cloud platforms: AWS, Google Cloud, Azure

Practical notes

- This position is based in Toronto, Canada, and may require occasional travel for team meetings or conferences.
- Candidates should be prepared to provide examples of past projects and their impact on business outcomes during the interview process.
- The role may involve working with sensitive data, so a strong understanding of data privacy regulations and ethical considerations in data science is essential.

Lyft is committed to creating a diverse and inclusive workplace; candidates from all backgrounds are encouraged to apply.

📌 Data Science Manager, Rider Experience (Toronto)
🏢 Lyft
📍 Toronto