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!