Data Scientist (iGaming)

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.

We are currently looking for a Data Scientist for Spinlab.

Location: Remote
Job Type: Full-Time

About our client:
 

We help slot gaming leaders unlock the potential of their data, enhancing business outcomes
and strengthening their competitive edge in the market. We collect and process data using
advanced methods and technologies to provide our clients with clear, actionable
recommendations based on real metrics. SpinLab’s goal is not just to collect data but to
transform it into meaningful business insights that improve efficiency and help products
grow.


Responsibilities:

● Analyze large volumes of game and player data to identify patterns, trends, and
dynamics, and turn them into clear business conclusions.
● Translate findings into practical recommendations for product improvements,
highlighting what works, what doesn’t, and what opportunities to explore
● Perform deep-dive investigations into performance anomalies or game features to
explain what happened and why
● Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting, revenue
uplift, player segmentation) from experimentation to production.
● Own the full ML lifecycle: feature engineering, model training, validation, monitoring,
retraining, and continuous improvement.
Ensure models are scalable, explainable, and integrated into real-time or batch decision-
making systems.
● Collaborate with engineering teams to ensure seamless data pipelines and efficient
model serving in production environments.
Establish best practices for ML monitoring: track model drift, bias, performance
degradation, and implement retraining strategies.
● Develop robust statistical and causal inference analyses to identify drivers of user
behavior.
● Define and develop M/L models to resolve complex tasks of LTV, Churn Prediction,
Revenue Forecasting etc
● Support development and testing of predictive models through A/B tests and other
controlled experiments.
● Communicate complex insights in a simple, compelling way to both technical and non-
technical audiences.
● Help define metrics for new products or features, expanding high-level requirements
with your analytical thinking and product insights.

 

Requirements:

● Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science,
Economics, or a related quantitative field.
● 3+ 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.
● Flexible, 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.