Senior Data Scientist, Decisions - Rider Segment
Welcome to Lyft, where we are revolutionizing the way people move around their communities. We are seeking a highly skilled and experienced Senior Data Scientist to join our Decisions team, with a focus on the Rider Segment. As a Senior Data Scientist, you will have the opportunity to use your expertise in data analysis and modeling to drive strategic decisions and improve the overall rider experience. We are looking for someone who is passionate about data-driven decision making, has a strong understanding of statistical concepts, and is able to work collaboratively with cross-functional teams. If you are a problem-solver, a critical thinker, and have a strong track record of success in data science, we want you on our team.
Responsibilities:
- Analyze large, complex datasets to identify patterns, trends, and insights related to the rider segment.
- Develop predictive models and machine learning algorithms to inform decision making and improve the rider experience.
- Collaborate with cross-functional teams, including product, engineering, and operations, to identify key business questions and develop data-driven solutions.
- Communicate findings and recommendations to stakeholders in a clear and concise manner, using data visualizations and presentations.
- Lead the development and maintenance of dashboards and reports to track key metrics and measure the impact of data-driven decisions.
- Stay up-to-date with industry trends and advancements in data science and incorporate new techniques and tools into the decision-making process.
- Mentor and coach junior data scientists on the team, sharing best practices and helping to develop their skills.
- Identify opportunities for process improvements and automation to increase efficiency and accuracy of data analysis.
- Collaborate with data engineering teams to ensure data quality and integrity.
- Take ownership of projects and initiatives, ensuring timely and successful completion.
- Uphold Lyft's commitment to diversity, equity, and inclusion by promoting a diverse and inclusive workplace.
- Adhere to ethical standards and maintain confidentiality of sensitive data.
Extensive Experience In Data Analysis And Interpretation - A Senior Data Scientist At Lyft Should Have A Strong Background In Data Analysis And Be Proficient In Using Various Statistical And Data Mining Techniques To Gain Insights And Make Data-Driven Decisions.
Expertise In Machine Learning And Predictive Modeling - The Ideal Candidate For This Role Should Have A Deep Understanding Of Machine Learning Algorithms And Techniques, As Well As Experience In Building And Deploying Predictive Models To Improve Business Outcomes.
Strong Programming Skills - A Senior Data Scientist At Lyft Should Be Proficient In Programming Languages Such As Python, R, And Sql, And Have Experience Working With Large Datasets And Data Manipulation.
Excellent Communication And Collaboration Skills - This Role Requires Working Closely With Cross-Functional Teams, Including Product Managers, Engineers, And Business Stakeholders. Therefore, Strong Communication And Collaboration Skills Are Crucial For Success In This Position.
Experience In The Transportation Industry - While Not A Requirement, Prior Experience In The Transportation Industry, Particularly In The Ride-Sharing Sector, Would Be Beneficial For A Senior Data Scientist At Lyft. It Would Provide A Better Understanding Of The Industry's Unique Challenges And Help Drive Data-Driven Decisions For The Rider Segment.
Strategic Planning
Project Management
Programming
Data Analysis
Communication
Machine Learning
Critical Thinking
Data Visualization
Data Mining
Statistical modeling
Predictive analytics
Problem-Solving
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Scientist, Decisions - Rider Segment in New York, NY, USA is $130,000 - $170,000 per year. This range can vary depending on factors such as the specific company, the candidate's experience and skills, and the overall job market.
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Lyft, Inc. is a transportation network company based in San Francisco, California and operating in 640 cities in the United States and 9 cities in Canada. It develops, markets, and operates the Lyft mobile app, offering car rides, scooters, and a bicycle-sharing system.
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