Senior Data Scientist, Pricing Automation at Bolt Technology

Tallinn, , Estonia -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, SQL, Statistical Inference, Decision-Making Systems, Marketplace Mechanics, Communication, Autonomous Work

Industry

Software Development

Description

We’re looking for an experienced Data Scientist to join our Dynamic Pricing team and help build our autonomous pricing and incentives engine. If you're excited about applying machine learning and automated decision-making tools to real-world mobility pricing challenges, you’ll find plenty of impactful work here. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role In this role, you’ll work on everything from modeling price elasticity to experimenting with dynamic pricing strategies that support growth, profitability, and reliability, while maintaining market guardrails. You’d also help to optimise real-time data streams and automation endpoints to ensure our systems run smoothly at scale. Main tasks and responsibilities:Identify, research and prioritise hypotheses to improve automated pricing algorithms. Develop, deploy, and monitor automated pricing systems, ranging from classical supervised to reinforcement learning and advanced control system designs. Design and run experiments to validate pricing approaches and estimate their impact. Lead the automation-first approach to pricing in the company. Partner with analysts, engineers and operations specialists to identify pricing problems and develop the most efficient solutions. About you:5+ years of experience in applied machine learning for marketplace pricing. Mastery in Python and SQL. Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems. Expert grasp of two-sided marketplace mechanics. Strong ownership mindset and comfort working autonomously from problem research to model deployment. Skilled at communication with C-suite and cross-functional stakeholders. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! #LI-Hybrid

Responsibilities

The role involves modeling price elasticity and experimenting with dynamic pricing strategies to support growth and profitability. Additionally, the candidate will optimize real-time data streams and automation endpoints for smooth system operation at scale.