Senior Data Scientist, Rides Dynamic Pricing
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| Company Name | Bolt |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Tallinn, Harjumaa, Estonia |
| Qualifications | None / No Formal Education |
| Experience | 5 Year+ |
Job Overview
Bolt is seeking a Senior Data Scientist specializing in Rides Dynamic Pricing to join their team in Tallinn, Estonia. In this pivotal role, you will leverage advanced data science techniques to optimize pricing strategies for Bolt’s ride-hailing services, contributing to the company’s mission of building a future where people don’t need to own personal cars for convenient and safe transportation.
Company Overview
Bolt is a leading global technology company focused on making urban travel easier, faster, and more reliable. With operations in over 600 cities worldwide, Bolt provides on-demand transport solutions including cars, scooters, and e-bikes to over 200 million customers. The company is dedicated to supporting more than 4.5 million drivers and couriers, all while continuously innovating and expanding its services globally.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: none
- Experience: 5 Year+
Key Responsibilities
- Design and implement sophisticated data models and algorithms for dynamic pricing.
- Analyze large-scale datasets to identify trends, forecast demand, and optimize pricing elasticity.
- Collaborate cross-functionally with engineering, product, and operations teams to integrate pricing solutions.
- Conduct A/B tests and rigorous experiments to evaluate the impact of pricing changes.
- Monitor market dynamics, competitor strategies, and customer behavior to inform pricing decisions.
- Mentor junior data scientists and contribute to the overall data science knowledge base and best practices.
Requirements
- Proven senior-level experience in data science, with a strong background in dynamic pricing, economics, or revenue management.
- Exceptional proficiency in programming languages such as Python or R, and SQL for data manipulation.
- Extensive expertise in statistical modeling, machine learning techniques, and experimental design.
- Experience with big data technologies and platforms (e.g., Spark, Hadoop) is highly desirable.
- Strong analytical mindset with the ability to translate complex data into actionable business insights.
- Excellent communication and presentation skills to convey technical findings to diverse stakeholders.
Benefits
- Opportunity to work on impactful projects that directly shape the future of urban mobility.
- Competitive salary package and performance-based incentives.
- Collaborative and dynamic work environment within a rapidly growing global company.
- Professional growth and development opportunities, including mentorship and learning resources.
- Comprehensive health and wellness benefits.
- Access to Bolt services and employee perks.