Job ID: r20594
What You'll Do:
The Bidswitch Data Science team uses cutting-edge technology, advanced statistics, and machine learning to tackle some of the most complex product and algorithmic challenges at Criteo. We help validate and evolve our core traffic-shaping systems while exploring opportunities to push product performance further.
We partner closely with ML Engineers, Product Managers, and backend teams — and we own our work end-to-end: from research and experimentation through to production delivery. This means your work will have real, measurable impact on the product.
The topics we work on include:
Improving the efficiency of our traffic allocation algorithms through data analysis, offline experiments, and model prototyping
Designing and executing A/B tests to validate hypotheses and measure revenue impact
Identifying and quantifying optimisation opportunities across our core ML systems (including pBid, pWin, and traffic-shaping components)
Translating analytical findings into concrete feature recommendations, feeding directly into the product and engineering roadmap
Leverage and contribute to the team's agentic AI toolkit — using LLM-based tools to accelerate analytical workflows and improve team productivity.
Overall, your responsibilities include:
Conduct data-driven research and analysis on large-scale datasets to identify inefficiencies and improvement opportunities in our ML systems
Prototype model ideas and algorithmic improvements — if a prototype shows promise, work with ML Engineers to carry it into production
Define, design, and analyse experiments (offline tests and A/B tests) with statistical rigour
Act as analytical owner of your workstreams: set the research agenda, drive findings to conclusions, and see improvements through to delivery
Communicate findings clearly to technical and non-technical stakeholders, including product and engineering teams
What You Won't Do
Build production-grade ML infrastructure or model serving systems — that belongs to the ML Engineering team
Spend the majority of your time on support tickets — this is not a support role. That said, occasional unplanned requests are part of working in a fast-moving product environment
Who You Are:
Bachelor’s or Master’s degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Physics, or similar)
Strong grasp of statistics and machine learning fundamentals, with an ability to apply them to real-world product problems
Proficiency in Python and SQL for data analysis, modelling, and querying at scale
Curiosity and self-direction — you enjoy defining and pursuing research questions with minimal hand-holding
End-to-end ownership mindset: comfortable taking a problem from hypothesis to delivery, not just producing outputs
Clear communicator: able to explain complex findings to both technical peers and non-technical stakeholders
Fluent English and Russian
Nice to have:
Experience with large-scale or high-volume datasets in a production environment
Familiarity with online advertising concepts (Real-Time Bidding, programmatic, MarTech)
Interest in or experience with agentic AI, LLMs, or building automation tools
Mathematics competition background — a nice signal, but far from a requirement.
We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!
Who We Are:
We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.
At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.
We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.
What We Offer:
🏢 Ways of working – Our hybrid model blends home with in-office experiences, making space for both.
📈 Grow with us – Learning, mentorship & career development programs.
💪 Your wellbeing matters – Health benefits, wellness perks & mental health support.
🤝 A team that cares – Diverse, inclusive, and globally connected.
💸 Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.
