Data Scientist

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.