Senior Data Scientist - Campaigns

We’re looking for a seasoned Data Scientist to architect the next generation of our campaign optimization systems. You will design and scale the logic that determines which users to target and which incentives to deploy to maximize investment efficiency. If you’re excited to apply Machine Learning and Causal Inference to drive global impact, join us!

About us

Bolt is shaping a future where cities are built for people, not cars. What started as an ambitious project of a 19-year-old in 2013 has grown into a global mobility platform used by more than 200 million customers and 4.5 million driver and courier partners across 50 countries.

From ride-hailing and food delivery to scooters, e-bikes, and car-sharing, Bolt helps people move through cities every day. Small, autonomous teams drive this work, combining the speed and ownership of a startup with the scale of a global technology company backed by more than €1bn in funding.

And we're just getting started.

About the role

You’ll own Bolt’s campaign optimization systems end-to-end, architecting the "brain" that determines how we allocate rider and driver incentives globally. This includes building automated exploration pipelines, estimating discount sensitivities, and solving optimization problems. You'll apply predictive modeling and causal inference to measure the impact of discounts and guide strategy.

Main tasks and responsibilities

• Architect and deploy end-to-end ML solutions (mainly uplift models) and optimization systems that maximize our investment efficiency.(Insert responsibility 2)

• Design and execute advanced experimentation frameworks to reliably measure campaign incrementality.

• Demonstrate technical excellence by championing rigorous statistical and engineering practices.

• Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.

• Engage in regular knowledge exchange with Data Scientists across all seniority levels.

About you

• Pragmatic problem solver, able to work autonomously from research to production deployment.

• Strong product thinking with the ability to communicate and collaborate effectively in English.

• 5+ years of experience in applied ML; experience in a growth role (incentives or marketplace pricing) is a plus.

• Exceptional knowledge of ML, statistics.

• Hands-on experience in causal ML or causal inference is a big plus.

• Proficiency in Python, SQL and AI-accelerated development (with critical human-in-the-loop thinking).

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!

Why you'll love it here

• Accelerate your professional growth with unique career opportunities.

• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.

• Take care of your physical and mental health with our wellness perks.

• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.

• Connect with colleagues at annual company events and smaller team gatherings.

• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

Some perks may differ depending on your location and role.

At Bolt, using AI daily is a baseline expectation for everyone. If there's a faster, smarter way to do your work, we expect you to find it. You're still responsible for the output, so the standard stays high when using AI tools.

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!

Everyone is welcome

Bolt is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where all qualified applicants are considered for employment without regard to race, colour, nationality, religion, gender or gender identity, sexual orientation, age, or disability.

We welcome applications from all backgrounds and are happy to make reasonable accommodations throughout our hiring process. If you require any adjustments, please let us know.