Lead Data Scientist
Betty
17 days ago
Full-time
On-site
Sofia, Sofia-City, Bulgaria
About us:
Betty is an innovative entertainment company pioneering at the intersection of real money online casino and casual mobile gaming. Accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we've set a new standard in the industry. Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players' safety and enjoyment above everything else.
Our Values:
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We are honest – we value honesty in all aspects. -
Bring the Olives – we offer premium customer experience. -
Think Big – we believe in always striving for more.
Key Responsibilities
- Design, build, test, and deploy predictive and prescriptive models (e.g., churn prediction, player lifetime value, segmentation, risk classification, fraud detection).
- Analyze large-scale player behavioral data to identify key value drivers and recommend optimizations for promotions, engagement, and monetization strategies.
- Develop models for anomaly detection, fraud prevention, and responsible gaming interventions to maintain a safe and compliant environment.
- Design and evaluate A/B and multivariate tests for product features and marketing campaigns, ensuring statistically robust insights.
- Partner with Data Engineers to ensure model pipelines are production-ready, automated, and scalable across cloud environments.
- Visualize and present analytical findings to both technical and non-technical stakeholders, driving clear, data-informed decisions.
- Monitor and refine model performance, automate recurring analyses, and ensure data quality and reproducibility.
Requirements
- 3+ years of experience in a Data Scientist, Machine Learning Engineer, or advanced analytics role (ideally within iGaming, FinTech, or other consumer-facing digital products).
- Strong theoretical understanding of machine learning and statistical algorithms (classification, regression, clustering, optimization).
- Proven experience applying models to solve business problems (e.g., forecasting, segmentation, retention, player value optimization).
- Skilled in Python (Pandas, NumPy, Scikit-learn, PySpark) and SQL (advanced querying, ETL processes, performance optimization).
- Experienced in analyzing massive datasets (100M+ rows) across multiple sources.
- Strong communication skills — able to explain complex technical concepts to non-technical audiences.
Nice to Have
- Experience with AWS, Docker, Kubernetes, or other cloud and containerization technologies.
- Background in NLP, time-series, or causal inference modeling.
- Proficiency with data visualization tools (Tableau, Looker, or Power BI).
- Experience integrating data and models into production pipelines and dashboards.
- Familiarity with iGaming KPIs such as LTV, ARPDAU, Churn, and Player Retention metrics.
- Understanding of A/B testing frameworks and experimental design.
What We Offer
- Competitive salary
- Premium Health insurance
- Career and skills development opportunities
- Fun and collaborative team environment
- New modern office space