Lead Data Scientist at Toogeza in Ouagadougou, Centre, Burkina Faso

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: RemoteJob 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 and evaluation frameworks

• Continuously improve delivery efficiency, reducing time from idea → production

• Identify opportunities to automate manual analytical workflows using AI/ML

Requirements:

• 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.

Benefits:

• Work on meaningful data products and shape them with your vision.
• 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.

What’s next?

If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.

We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.