Lead Data Scientist

We are looking for a Lead Data Scientist who goes beyond building models and actively drives product and business impact. In this role, you’ll combine strong ML expertise, technical leadership, and a product mindset to deliver scalable, high-impact solutions. You will play a key role not only in what we build, but also in how we build it - shaping processes, standards, and delivery efficiency.

Responsibilities

Work closely with product and business teams to translate business challenges into data science solutions and research
Define clear success metrics and KPIs
Turn data insights into actionable recommendations
Ensure models deliver real business impact, not just technical performance
Design, build, and deploy machine learning solutions such as churn prediction, LTV modeling, player segmentation, and uplift modeling, owning the full lifecycle from experimentation to production
Establish and improve team processes, including end-to-end model lifecycle, code quality, documentation, reproducibility, and experimentation frameworks
Improve delivery efficiency by reducing time from idea to production and identifying opportunities to automate analytical workflows using AI and machine learning

Requirements5+ years of experience in Data Science, preferably in tech or gaming
Degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics
Analytical mindset with the ability to translate data into business insights
Experience working with large-scale data tools such as BigQuery, Spark, or Hive
Advanced SQL skills
Strong Python skills for data analysis and modeling
Experience with data visualization tools such as Tableau, Power BI, or Python libraries
Understanding of statistics and experimentation including A/B testing, hypothesis testing, and confidence intervals
Familiarity with causal inference techniques and predictive modeling
English level B2+
 

Nice to Have

Experience in iGaming
Understanding of player behavior and slot game mechanics
Strong product mindset with the ability to propose impactful solutions

Benefits

Opportunity to shape meaningful data products and influence business outcomes
25 vacation days, 15 sick days, and birthday leave
Budget for English classes and professional development
Health insurance budget
Remote-friendly culture with a small, high-impact team