Data Scientist

Job Overview

BET99 is Canada's Premiere Online Sportsbook and Casino. Launching in 2020, we have consistently innovated the online gaming landscape every step of the way, exponentially growing our customer base and, in turn, our internal BET99 team! We're a fast-paced company and are looking for individuals who live and breathe our core values: challenging the status quo, trust, transparency, integrity, and collaboration.

We are seeking a highly skilled Data Scientist to join our Data & Analytics team, reporting directly to the Head of Business Intelligence. This role is pivotal in analyzing real-time player data, developing predictive models, optimizing player engagement, and ensuring responsible gaming practices. The ideal candidate will have a strong background in machine learning, statistical modelling, and big data technologies, with a focus on driving actionable insights in a fast-paced, high-stakes environment.

Responsibilities:

Data Analysis & Modeling

• Analyze and interpret large-scale, complex datasets (e. g. , player behavior, transaction histories, betting trends, game performance) to uncover insights and opportunities.
• Develop and implement predictive models for player retention, personalization, responsible gaming, and fraud detection.
• Conduct A/B testing on model performance and iteratively refine algorithms to maximize business impact.
• Leverage statistical methods, machine learning, and deep learning techniques to drive key business decisions.
• Build customer segmentation models to enhance marketing campaigns and personalized player experiences.

Algorithm Development & Machine Learning

• Design and optimize machine learning algorithms (supervised & unsupervised) to improve key business metrics such as customer lifetime value, churn prediction, and risk management.
• Develop real-time anomaly detection systems to monitor suspicious betting patterns and potentially fraudulent activity.
• Deploy machine learning models in production environments, ensuring scalability and robustness.
• Implement reinforcement learning approaches for sportsbook odds optimization and casino game dynamics.

Business Intelligence & Reporting

• Work closely with Product, Marketing, and Compliance teams to define KPIs and reporting structures that align with business objectives.
• Create interactive dashboards and visualizations to communicate insights to both technical and non-technical audiences using Power BI, Tableau, or other visualization tools.
• Automate reporting pipelines to ensure real-time data availability and decision-making.

Regulatory & Compliance Awareness

• Work with compliance teams to ensure data governance, security, and regulatory adherence, including AML (Anti-Money Laundering) regulations and responsible gaming guidelines.
• Employ secure data processing techniques to protect player data and privacy.
• Stay up to date with evolving gaming regulations and ensure analytics initiatives comply with industry standards.

Research & Innovation

• Stay ahead of the latest data science trends, machine learning methodologies, and AI advancements, particularly in the iGaming and online sports betting space.
• Experiment with new algorithms, big data technologies, and AI-driven approaches to improve player experience and operational efficiency.
• Research and implement natural language processing (NLP) techniques for player sentiment analysis and chatbot enhancements.

Cross-Functional Collaboration

• Partner with Product Managers, Engineers, and Marketing teams to integrate data-driven insights into product roadmaps and promotional strategies.
• Present complex data findings in clear, concise, and actionable formats to senior leadership and stakeholders.
• Collaborate with DevOps and Engineering teams to optimize data infrastructure, model deployment, and real-time analytics pipelines.

Required Qualifications and Experience:

Education

• Master's or Ph. D. in Data Science, Computer Science, Statistics, Mathematics, Machine Learning, or a related field.
• Strong academic background in statistical modeling, predictive analytics, and AI/ML methodologies.

Technical Skills

• Proficiency in programming languages: Python, R, SQL.
• Experience with machine learning frameworks: TensorFlow, PyTorch, scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Hands-on experience with big data technologies: Spark, Hadoop, AWS Redshift, Snowflake, Google BigQuery.
• Database expertise: MySQL, PostgreSQL, NoSQL (MongoDB, Cassandra).
• Familiarity with cloud computing platforms: AWS, Azure, GCP.
• Experience in deploying machine learning models in production environments.
• Experience with Power BI or Tableau for reporting and dashboarding.

Industry Experience

• 3+ years of experience in a data science, analytics, or AI/ML role, preferably within gambling, gaming, fintech, or a highly regulated industry.
• Understanding of player behavior analytics, betting trends, and customer lifecycle metrics in the online gaming industry.
• Strong knowledge of fraud detection, risk management, and responsible gaming analytics.

Analytical & Problem-Solving Skills

• Ability to translate business challenges into data science solutions.
• Experience handling unstructured data, including text mining and NLP applications.
• Strong problem-solving mindset and ability to deliver practical, high-impact insights.

Soft Skills

• Excellent communication skills to present findings to both technical and non-technical stakeholders.
• Strong collaborative mindset to work across multiple departments.
• Ability to work in a fast-paced, dynamic environment while handling multiple projects.

Nice to Have

• Experience with Snowflake for data warehousing.
• Background in fraud detection, risk management, or responsible gaming initiatives.
• Scripting or automation skills for data pipelines (e. g. , Airflow, Apache Kafka).
• Knowledge of gaming regulations across multiple jurisdictions.
• Experience working with real-time betting odds and sports analytics.
• Understanding of blockchain analytics for crypto-based betting platforms.
• Hands-on experience with MLOps and automated machine learning (AutoML).

Why Join BET99?

• Opportunity to work with cutting-edge AI & data science in a high-growth industry.
• Remote-friendly work environment with a competitive salary and benefits.
• Career growth opportunities in a dynamic, analytics-driven company.
• Impactful role where data directly shapes the future of online gaming & sports betting.
• Collaborative and innovative culture in a leading Canadian iGaming compan.