Our advertising network handles 7+ billion events daily across 300 servers in 5 data centers (Europe & the US). We process over 700,000 requests per second at peak load, and our ClickHouse cluster stores more than 1.8 petabytes of data. And yet, everything works like Swiss clockwork — thanks to our team of smart, talented, and proactive individuals.
We’re now looking for a Data Scientist who can uncover insights from massive datasets and help scale our advertising network even further.
Responsibilities:
- Develop and evaluate machine learning models to improve product performance and business outcomes
- Collaborate cross-functionally with analysts, developers, and product managers
- Conduct deep exploratory analysis of product and user data (hundreds of billions of events per month)
- Build predictive and prescriptive models to support decision-making
- Participate in feature selection, A/B test design, and model validation
- Identify growth opportunities and optimization areas in traffic and user behavior
- Develop custom tools and dashboards to monitor key product and model metrics
- Ensure data quality, build pipelines for monitoring and anomaly detection
- Clearly present hypotheses, findings, and insights to both technical and non-technical audiences
- Drive continuous improvement of analytical tools and processes within the team
Requirements:
- Have 3+ years of experience in data science or applied machine learning
- Are confident in statistical analysis, hypothesis testing, and experimental design
- Understand the fundamentals of ad tech and media buying (or have a strong willingness to learn)
- Are fluent in SQL (especially ClickHouse – a major plus)
- Know how to work with large-scale datasets (terabytes to petabytes of data)
- Are proficient in Python or R for data analysis and ML (e.g., pandas, scikit-learn, XGBoost, LightGBM, etc.)
- Can build and interpret regression, classification, and clustering models
- Have experience with BI tools (Grafana, Tableau, Power BI, etc.)
- Are proactive, curious, and results-driven
- Can explain technical concepts clearly to non-technical stakeholders
- Know how to break down complex problems into manageable components
We Offer:
- No dress code, no bureaucracy.
- Fully official employment with a competitive salary above market level
- Laptop of your choice: Mac or PC.
- Medical insurance and mobile communication.
- Free lunches and beverages.
- Fresh fruit baskets and snacks in the office.
- Free English сourse.
- Gym membership coverage.
- Partial payment for schools and childcare (35%).
- Fitness reimbursement;Assistance with school and kindergarten payments.
Ready to take on the challenge? Join us at TrafficStars and work on an exciting, large-scale AdTech project!