Senior Data Scientist | Betty CA

Job description

**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:** - **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