Data Engineer
Machine Learning Analyst - Data Science
Limassol
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- Limassol, Cyprus
- Yerevan, Armenia
- Product
- Permanent - Full Time
Machine Learning Analyst - Data Science
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Job ID:
r20862
What You'll Do:
The BidSwitch Data Science team works on the ML systems at the core of a large-scale programmatic trading platform — the algorithms that decide, billions of times a day, which bid requests are worth processing and which demand partners they should be routed to. Alongside model research, the team owns a broad analytical scope: making sure those models and the system around them run efficiently and profitably. This role is dedicated to that analytical scope, working side by side with our ML researchers.
You won't be building ML models. You will be the person who understands how they perform in production, finds inefficiencies in the system around them, and drives fixes through to implementation. If your idea of a great week is discovering a hidden $100k/year inefficiency in traffic or infrastructure costs — and then actually shipping the fix, not just filing it in a backlog — this role is for you.
Rough split of the work: ~45% insight hunting & efficiency analysis (traffic, trading pairs, unit costs)
- ~30% monitoring, dashboards, tooling
- ~25% stakeholder support and ad-hoc analysis.
Key Responsibilities
Efficiency & unit economics
Own hardware unit-cost management: cost recalculation, financial forecasts, and making sure every processed request is profitable.
Proactively hunt inefficiencies in incoming traffic and system setup: bidstream management (QPS spikes, unprofitable traffic segments), supply path optimization, duplication/multisize handling, latency (t_max) tuning.
Drive each finding from detection to executed change, and measure the realized $ impact.
Launch and manage A/B tests to validate your changes: you own the experiment from design and rollout control to the final verdict — so every improvement ships with measured, defensible impact.
ML performance insights
Team up with Data Scientists on model performance investigations: they go deep into model internals and algorithm details, you work the data side — testing hypotheses, localizing inefficiencies, and turning findings into concrete research cases for the team.
Go below the top-line aggregates: analyze performance at the level of mid- and small-size partners and segments, where inefficiencies are individually small but cumulatively worth real money.
Analyze cross-component inefficiencies and trading-pair performance; turn recurring manual checks into automated reports and tooling.
Perform root-cause analysis on incidents affecting performance or margin.
Collaboration
Work day-to-day with Data Scientists, R&D, Product, TAM, and Client Services; turn their questions into evidence-backed answers and proactive insights.
Communicate findings clearly to both technical and non-technical audiences, in writing and in person.
What You Won't Do
Develop new ML models or algorithms from scratch — that stays with our ML researchers, whom you'll work alongside daily.
Build production infrastructure or model-serving systems.
Sit in a support-ticket queue. Ad-hoc requests from stakeholders are a real part of the role, but the goal is to automate recurring ones so no investigation is done by hand twice.
Who You Are:
- Bias to implementation: you get satisfaction from initiatives that reach production and generate or save money — not from accumulating a backlog of ideas.
- Proactive ownership: you'll often be the first to notice something is wrong, and you'll need to convince others to act on it.
- Critical thinking: you validate before you trust — whether it's a data source, a stakeholder's assumption, or an LLM's answer. In the age of AI-assisted workflows, this matters more than ever.
- Strong communicator and relationship builder: able to explain a technical finding clearly to a non-technical reader, and to build working relationships across DS, R&D, Product, TAM, and Client Services.
- SQL — confident with window functions, aggregation over TB-scale event logs, and writing cost-aware queries. Comfortable being handed raw data and a vague question.
- Python — pandas, numpy, visualization; able to turn one-off analyses into repeatable reports and small pipelines.
- Solid grasp of statistics and A/B testing fundamentals.
- Working understanding of ML metrics and model behavior — enough to monitor, interpret, and debug model performance. You don't need to design algorithms.
- Experience with BI and monitoring tooling (Grafana, Tableau, Superset, or comparable in-house/OLAP systems). We rely heavily on internal tools, so tool-agnostic thinking matters more than any specific product.
- 3+ years of hands-on analytical experience with production-scale data.
- Fluent English and Russian, written and spoken.
Strong Plus (not required)
- We will teach the domain — but if you already have it, you'll be productive months earlier: Programmatic / RTB fundamentals: bid request lifecycle, auction mechanics, win rate, QPS, timeouts, no-bid reasons.
- Ecosystem roles: DSP, SSP, ad exchange; supply chain (schain) analysis.
- Unit economics or infrastructure cost management experience.
- Interest in LLM-based tooling and workflow automation — the team actively uses agentic AI tools in daily work.
Room to Grow
If you're curious about the ML side, there's an open door: you can get hands-on with our experiment pipeline — launching lightweight ML experiments and validating product hypotheses together with Data Scientists and PMs. This is optional, not a core expectation of the role.
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.
Perks & Benefits for all Criteos.
Happy people make healthy teams, so we value employee well-being above all else. Discover the perks & benefits we offer all our Criteos!!
Ways of Working
Trust and flexibility are at our core, so is the power of being together. Our hybrid model blends empowerment with shared in-person experiences, making space for both. We believe this is the most valuable way to foster collaboration in a way that helps us grow, together.
View more
Learning & Career Development
As your skills multiply, opportunities do too. So, we care to help you nurture your potential, identify new goals, and define what you want out of your career. Discover how we have diversified our learning resources and training catalog for you to shape greater opportunities. You care for your career growth, and we do too.
View more
Corporate Social Responsibility
We care to build an open future for our community and beyond. Discover how our people fuel our Corporate Social Responsibility from the bottom up, embracing but also embodying and promoting values of diversity, equity, and inclusion through everything they do. Together, we strive to build a future that truly includes everyone.
View more
Great people
shape greater opportunities.
At Criteo, we believe great people and reliable products are essential to build an open future for all.
Everything you need to know about our culture, vision, values, and how we live them with people, both in and out of Criteo, is in our Culture Book. Discover who we are, what we do, and how we act as a company and as Criteos!
Our culture
Meet our Criteos in Cyprus!
Whether you prefer the sandy beaches of a coastal city or the cultural dynamism of the capital, we have an office that will suit your needs in Cyprus! Either join our team in Nicosia, the capital of the island and enjoy its rich culture and historical heritage, or try our team in Limassol, where you can enjoy lively nightlife in a uniquely beautiful setting. Are you willing to combine a real-life experience with promising career opportunities? Then we have room for you at Criteo Cyprus.
Find out more
Meet our Criteos in Armenia!
Welcome to the growing tech hub of Criteo Armenia, located in the heart of Yerevan. There, you'll join a team committed to developing cutting-edge advertising technology and solutions, directly contributing to our company's global success. We created this dynamic hub after acquiring IPONWEB, which already had a strong presence in this region.
Find out more
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Job ID:
r20862
Who You Are:
- Bias to implementation: you get satisfaction from initiatives that reach production and generate or save money — not from accumulating a backlog of ideas.
- Proactive ownership: you'll often be the first to notice something is wrong, and you'll need to convince others to act on it.
- Critical thinking: you validate before you trust — whether it's a data source, a stakeholder's assumption, or an LLM's answer. In the age of AI-assisted workflows, this matters more than ever.
- Strong communicator and relationship builder: able to explain a technical finding clearly to a non-technical reader, and to build working relationships across DS, R&D, Product, TAM, and Client Services.
- SQL — confident with window functions, aggregation over TB-scale event logs, and writing cost-aware queries. Comfortable being handed raw data and a vague question.
- Python — pandas, numpy, visualization; able to turn one-off analyses into repeatable reports and small pipelines.
- Solid grasp of statistics and A/B testing fundamentals.
- Working understanding of ML metrics and model behavior — enough to monitor, interpret, and debug model performance. You don't need to design algorithms.
- Experience with BI and monitoring tooling (Grafana, Tableau, Superset, or comparable in-house/OLAP systems). We rely heavily on internal tools, so tool-agnostic thinking matters more than any specific product.
- 3+ years of hands-on analytical experience with production-scale data.
- Fluent English and Russian, written and spoken.
Strong Plus (not required)
- We will teach the domain — but if you already have it, you'll be productive months earlier: Programmatic / RTB fundamentals: bid request lifecycle, auction mechanics, win rate, QPS, timeouts, no-bid reasons.
- Ecosystem roles: DSP, SSP, ad exchange; supply chain (schain) analysis.
- Unit economics or infrastructure cost management experience.
- Interest in LLM-based tooling and workflow automation — the team actively uses agentic AI tools in daily work.
Room to Grow
If you're curious about the ML side, there's an open door: you can get hands-on with our experiment pipeline — launching lightweight ML experiments and validating product hypotheses together with Data Scientists and PMs. This is optional, not a core expectation of the role.
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!
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.
At Criteo, we believe great people and reliable products are essential to build an open future for all.
Everything you need to know about our culture, vision, values, and how we live them with people, both in and out of Criteo, is in our Culture Book. Discover who we are, what we do, and how we act as a company and as Criteos!
Whether you prefer the sandy beaches of a coastal city or the cultural dynamism of the capital, we have an office that will suit your needs in Cyprus! Either join our team in Nicosia, the capital of the island and enjoy its rich culture and historical heritage, or try our team in Limassol, where you can enjoy lively nightlife in a uniquely beautiful setting. Are you willing to combine a real-life experience with promising career opportunities? Then we have room for you at Criteo Cyprus.
Welcome to the growing tech hub of Criteo Armenia, located in the heart of Yerevan. There, you'll join a team committed to developing cutting-edge advertising technology and solutions, directly contributing to our company's global success. We created this dynamic hub after acquiring IPONWEB, which already had a strong presence in this region.
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