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.

Key facts

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.
• Strong 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.

META

Company: Lyft

Title: Data Science Manager, Rider Experience

Listed

location: Toronto, Canada

Apply URL: https://app.careerpuck.com/job-board/lyft/job/8445467002?gh_jid=8445467002

Tags: Data Science