
Staff Data Scientist, Algorithms, Rider Recommendations
Welcome to Lyft, a fast-growing transportation company that strives to connect people through safe, reliable, and affordable rides. We are currently seeking a highly skilled and motivated Staff Data Scientist to join our Algorithms team and help us improve our rider recommendations. This is a unique opportunity to make a significant impact on our business and shape the future of transportation.As a Staff Data Scientist, you will be responsible for developing and implementing cutting-edge algorithms to enhance our rider recommendation system. You will work closely with cross-functional teams to analyze large datasets, identify patterns, and develop innovative solutions that will improve the overall rider experience. The ideal candidate will have a strong background in data science, machine learning, and a passion for solving complex problems.If you are a data-driven individual with a passion for innovation and want to be a part of a dynamic and collaborative team, we encourage you to apply for this exciting role. Join us in our mission to revolutionize the way people move around their cities.
- Develop and implement advanced algorithms to improve the rider recommendation system.
- Analyze large datasets to identify patterns and insights that can be used to enhance the overall rider experience.
- Collaborate with cross-functional teams to understand business objectives and translate them into data-driven solutions.
- Stay up-to-date with the latest developments in data science and machine learning and apply them to improve our algorithms.
- Conduct experiments and A/B tests to evaluate the effectiveness of different algorithms and make recommendations for improvements.
- Work closely with engineers to integrate algorithms into production systems and ensure their scalability and efficiency.
- Provide technical guidance and mentorship to junior data scientists on the team.
- Communicate complex data and findings to non-technical stakeholders in a clear and concise manner.
- Continuously monitor and optimize the performance of algorithms to ensure they meet business goals.
- Collaborate with product managers to define requirements and prioritize projects based on their potential impact on the business.
- Conduct research and identify new data sources that can be used to improve the algorithms.
- Document and maintain the code and processes used to develop and implement algorithms.
- Participate in conferences and workshops to share knowledge and learn from industry experts.
- Adhere to data privacy and security policies to ensure the protection of sensitive information.
- Act as a subject matter expert on data science and machine learning techniques and provide guidance to the team and the company as a whole.
Advanced Degree In Computer Science, Mathematics, Statistics, Or A Related Field.
Minimum Of 3 Years Experience In Data Science And Algorithm Development.
Expertise In Machine Learning, Data Mining, And Predictive Modeling.
Strong Coding Skills In Languages Such As Python, R, Or Java.
Experience With Large-Scale Data Processing And Distributed Computing Frameworks Such As Hadoop Or Spark.
Data Analysis
Big Data
Machine Learning
Deep Learning
A/B testing
Data Visualization
Natural language processing
Statistical modeling
Predictive analytics
Time series analysis
Recommender Systems
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Staff Data Scientist, Algorithms, Rider Recommendations in New York, NY, USA is between $120,000 to $200,000 per year. However, this can vary depending on factors such as the specific company, level of experience, and skills of the individual. It is important to note that salary ranges can also be affected by location, industry, and other market factors.
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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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