Lead Data Scientist

As a Lead Data Scientist, you will combine hands-on expertise, technical leadership, and product thinking to drive the development of scalable ML solutions.

You will play a key role in:

• Ensuring what we build drives business value
• Defining how we build (processes, standards, scalability, performance)

This role requires close collaboration with product and business stakeholders to translate complex problems into practical, high-impact solutions.

Responsibilities:

• Work closely with product and business teams to:

• Translate business problems into data science solutions or data analytics researches
• Define clear success metrics and KPIs
• Turn insights into actionable recommendations that impact revenue and player behavior
• Ensure all models and analyses are aligned with real business outcomes, not just technical performance
• Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting, revenue uplift, player segmentation) from experimentation to production.

• Define and implement standardized, scalable DS/DA processes across the team:
• Model development lifecycle (design validation production)
• Code quality, documentation, and reproducibility
• Experimentation and evaluation frameworks
• Continuously improve delivery efficiency, reducing time from idea production
• Identify opportunities to automate manual analytical workflows using AI/ML, * 25 vacation days + 15 sick days + 1 birthday leave.
• Budget for English classes.
• Budget for health insurance.
• Annual education & development budget.
• Remote-friendly culture with a small, dedicated team.

Do you have experience in Tableau?, Do you have a Master's degree?, * Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

• 5+ years of experience as a Data Scientist, preferably in the gaming or tech industry.
• Strong analytical and problem-solving mindset; ability to find the story in the data: uncovering trends and explaining them in clear business terms.
• Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar).
• Strong hands-on experience with SQL for complex queries and data wrangling.
• Solid data visualization skills (Tableau/Power BI, Python)
• Advanced skills in Python for data analysis.
• Solid understanding of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals).
• Familiarity with causal inference techniques (e.g., Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling), and predictive modeling techniques.
• English B2+

Will be a plus:

• Knowledge of the iGaming industry or understanding of slot game mechanics
• Ability to look at games from players' point of view
• Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact.

Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. The company collects and processes data using advanced methods and technologies to provide clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.