Lead Data Scientist

<div class="p-rich_text_section"><strong>About us:</strong><br><br>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.<br><br><strong>Our Values:</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0"><strong>We are honest </strong>– we value honesty in all aspects.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong>Bring the Olives </strong>– we offer premium customer experience.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong>Think Big</strong> – we believe in always striving for more.</li> </ul> <div class="p-rich_text_section"><strong>Key Responsibilities</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Design, build, test, and deploy predictive and prescriptive models (e.g., churn prediction, player lifetime value, segmentation, risk classification, fraud detection).</li> <li data-stringify-indent="0" data-stringify-border="0">Analyze large-scale player behavioral data to identify key value drivers and recommend optimizations for promotions, engagement, and monetization strategies.</li> <li data-stringify-indent="0" data-stringify-border="0">Develop models for anomaly detection, fraud prevention, and responsible gaming interventions to maintain a safe and compliant environment.</li> <li data-stringify-indent="0" data-stringify-border="0">Design and evaluate A/B and multivariate tests for product features and marketing campaigns, ensuring statistically robust insights.</li> <li data-stringify-indent="0" data-stringify-border="0">Partner with Data Engineers to ensure model pipelines are production-ready, automated, and scalable across cloud environments.</li> <li data-stringify-indent="0" data-stringify-border="0">Visualize and present analytical findings to both technical and non-technical stakeholders, driving clear, data-informed decisions.</li> <li data-stringify-indent="0" data-stringify-border="0">Monitor and refine model performance, automate recurring analyses, and ensure data quality and reproducibility.</li> </ul> <div class="p-rich_text_section"><strong>Requirements</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">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).</li> <li data-stringify-indent="0" data-stringify-border="0">Strong theoretical understanding of machine learning and statistical algorithms (classification, regression, clustering, optimization).</li> <li data-stringify-indent="0" data-stringify-border="0">Proven experience applying models to solve business problems (e.g., forecasting, segmentation, retention, player value optimization).</li> <li data-stringify-indent="0" data-stringify-border="0">Skilled in Python (Pandas, NumPy, Scikit-learn, PySpark) and SQL (advanced querying, ETL processes, performance optimization).</li> <li data-stringify-indent="0" data-stringify-border="0">Experienced in analyzing massive datasets (100M+ rows) across multiple sources.</li> <li data-stringify-indent="0" data-stringify-border="0">Strong communication skills — able to explain complex technical concepts to non-technical audiences.</li> </ul> <div class="p-rich_text_section"><strong>Nice to Have</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Experience with AWS, Docker, Kubernetes, or other cloud and containerization technologies.</li> <li data-stringify-indent="0" data-stringify-border="0">Background in NLP, time-series, or causal inference modeling.</li> <li data-stringify-indent="0" data-stringify-border="0">Proficiency with data visualization tools (Tableau, Looker, or Power BI).</li> <li data-stringify-indent="0" data-stringify-border="0">Experience integrating data and models into production pipelines and dashboards.</li> <li data-stringify-indent="0" data-stringify-border="0">Familiarity with iGaming KPIs such as LTV, ARPDAU, Churn, and Player Retention metrics.</li> <li data-stringify-indent="0" data-stringify-border="0">Understanding of A/B testing frameworks and experimental design.</li> </ul> <div class="p-rich_text_section"><strong>What We Offer</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Competitive salary</li> <li data-stringify-indent="0" data-stringify-border="0">Premium Health insurance</li> <li data-stringify-indent="0" data-stringify-border="0">Career and skills development opportunities</li> <li data-stringify-indent="0" data-stringify-border="0">Fun and collaborative team environment</li> <li data-stringify-indent="0" data-stringify-border="0">New modern office space</li> </ul>