Job Description
We’re looking for an experienced Data Scientist to join our Ads & Monetization team and help build intelligent ranking, pricing, and bidding systems for our advertising platform. If you’re excited about applying machine learning to marketplace monetization challenges across Bolt’s 200M+ users, you’ll find plenty of impactful work here.
With over 200 million users 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, national origin, age, or ability.
Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
We are building an advertising and monetization platform, enabling merchants and brands to reach customers through sponsored listings, banners, and targeted promotions across Bolt Food. You’ll drive the data science roadmap for Ads — from building automated pricing and bidding engines that maximize value for advertisers and users to integrating sponsored content into our existing ML ranking systems. This is a foundational role: you’ll be the first dedicated Data Science hire for Ads & Monetization, working closely with Product, Engineering and Data Science teams.
Develop bidding and auction algos that enable fair price discovery and efficient budget allocation. Build conversion prediction models (pCTR, pCVR) to power automated CPA/CPO pricing for self-serve merchant advertising. Design and implement ranking models that blend sponsored listings with organic results, optimizing for user experience and advertiser ROI. Partner with other data science teams to extend existing ranking infrastructure with ads-specific features and signals. Design and run experiments to validate pricing approaches, measure incrementality, and estimate causal impact of ad placements. Own and drive DS roadmap for Ads & Monetization, translating business goals into technical milestones.
Strong ownership mindset and ability to work autonomously from problem research to production deployment. 5+ years of experience working in ads, ranking, recommendation systems or marketplace optimization domains. Strong experience with learning-to-rank (LTR) models and recommendation systems. Solid understanding of ads auction mechanics, bid optimization, and pricing strategies. Proficiency in Python and SQL; experience with CatBoost, XGBoost, or similar gradient boosting frameworks is a plus. Familiarity with causal inference and experimentation design for measuring ad effectiveness.
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!
Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks.
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