SpinLab
slot gaming
LeadDataScientist
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Scientist at SpinLab. Skills: ML solutions development, technical leadership, product thinking, data science, data analytics. Drive the development of scalable ML solutions.. Ensure what we build drives business value.”
What You'll Achieve.
Drives business value; Scalable ML solutions; Actionable recommendations that impact revenue and player behavior; Models and analyses aligned with real business outcomes; Churn prediction; LTV forecasting; Revenue uplift; Player segmentation; Standardized, scalable DS/DA processes; Reduced time from idea → production; Automated manual analytical workflows
Industry & Context.
analytical and problem-solving ability to find the story in the data; translate complex problems into practical, high-impact solutions; propose actionable solutions that make an impact
What They're Looking For.
Must Have
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, analytical and problem-solving 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)., 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 testing, hypothesis testing, confidence intervals)., English B2+
Nice to Have
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.
What You'll Do.
Drive the development of scalable ML solutions.
Ensure what we build drives business value.
Define how we build (processes
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.
and deploy ML models (e. g.
player segmentation) from experimentation to production.
Define and implement standardized
scalable DS/DA processes across the team.
Continuously improve delivery efficiency
reducing time from idea → production.
Identify opportunities to automate manual analytical workflows using AI/ML.
How You'll Work.
Team & Collaboration
Close collaboration with product and business stakeholders to translate complex problems into practical, high-impact solutions.; Work closely with product and business teams to translate business problems into data science solutions or data analytics researches.; Work closely with product and business teams to define clear success metrics and KPIs.; Work closely with product and business teams to turn insights into actionable recommendations that impact revenue and player behavior.
Communication Scope
explaining trends in clear business terms; English B2+
Full Job Description
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for a Lead Data Scientist for SpinLab. Location: Remote Job Type: Full-Time ABOUT OUR CLIENT: 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. Role Overview: 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
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