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 Requirements -5+ 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 * xperience 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
