
Data Scientist, Algorithms - Rider Pricing (Optimization)
Welcome to Lyft - a fast-growing transportation company that is revolutionizing the way people move around cities. We are seeking a highly skilled and passionate Data Scientist with a focus on Algorithms and Rider Pricing Optimization to join our dynamic team. As a Data Scientist at Lyft, you will have the opportunity to work with large and complex datasets to develop innovative algorithms that will shape the future of our rider pricing strategy. We are looking for someone who is driven, analytical, and has a strong background in mathematics, statistics, and coding. If you have a passion for solving complex problems and thrive in a fast-paced environment, we would love to hear from you.
- Develop and implement innovative algorithms to optimize rider pricing strategy.
- Analyze and manipulate large and complex datasets to extract meaningful insights.
- Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
- Utilize statistical and mathematical techniques to identify trends and patterns in data.
- Conduct thorough testing and validation of algorithms to ensure accuracy and effectiveness.
- Stay up-to-date with industry advancements and best practices in algorithms and data science.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
- Provide technical expertise and guidance to other team members.
- Work closely with engineering teams to integrate algorithms into production systems.
- Troubleshoot and resolve issues with algorithms and data processes.
- Continuously monitor and evaluate the performance of algorithms and make improvements as needed.
- Maintain documentation of algorithms and processes for future reference.
- Collaborate with other data scientists to share knowledge and improve overall team capabilities.
- Adhere to data privacy and security protocols to protect sensitive information.
- Demonstrate a strong work ethic, attention to detail, and ability to meet tight deadlines.
Extensive Knowledge Of Machine Learning Algorithms And Statistical Modeling Techniques, With A Particular Focus On Optimization Methods.
Proficiency In Programming Languages Such As Python, R, And Sql, As Well As Experience With Data Manipulation And Analysis Tools Like Pandas And Spark.
Strong Understanding Of Data Structures, Data Warehousing, And Data Engineering Principles, Including The Ability To Design And Implement Data Pipelines.
Experience Working With Large And Complex Datasets, Including Knowledge Of Data Cleaning, Feature Engineering, And Data Visualization Techniques.
Demonstrated Ability To Work With Cross-Functional Teams And Communicate Complex Technical Concepts To Non-Technical Stakeholders.
Sql
Data Analysis
Machine Learning
A/B testing
Big data analysis
Data Visualization
Statistical modeling
Predictive modeling
Optimization techniques
Time series analysis
Python programming
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Scientist, Algorithms - Rider Pricing (Optimization) in Toronto, ON, Canada is between $91,000 and $140,000 per year. This salary range can vary depending on factors such as experience, education, and the specific company or industry the data scientist is working in.
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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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