Position Summary Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
About the Role We are looking for a founding Senior Data Scientist to help build high-impact decision systems in a fast‑paced, startup‑style environment within a large organization. This is a hands‑on builder role for candidates who thrive in ambiguity, move quickly from idea to production, and are energized by turning complex business problems into scalable data products. You will work closely with Staff and Principal Data Scientists to deliver production‑grade systems across forecasting, experimentation, constrained optimization, pricing, and batch and real‑time recommendation systems. The role requires strong end‑to‑end ownership from problem framing and modeling through production deployment using self‑service ML platform tooling. This position will start remotely and transition to a hybrid role. Candidates must be local to Toronto, ON.
Key Responsibilities Design, build, and deploy end‑to‑end decision science systems spanning demand forecasting, experimentation, portfolio optimization, pricing, and recommendation systems
Build batch and real‑time recommendation pipelines using multi‑stage cascading ranking architecture, including candidate generation, pre‑ranking, ranking, and re‑ranking
Translate ambiguous business problems into structured hypotheses, measurable KPIs, experimentation plans, and production solutions
Partner closely with MLEs to leverage self‑service deployment tooling, observability, shadow deployment, canary rollout, and KPI monitoring workflows
Own one or more domain problem areas end‑to‑end, driving measurable business impact through fast iteration cycles




Contribute to modeling standards, code quality, validation rigor, and experimentation best practices established by Staff and Principal DS leadership
Mentor junior Data Scientists and contribute to the technical growth of the founding team
Required Qualifications Education Master’s degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field.
Experience 2+ years of hands‑on experience in data science, decision science, econometrics, or applied machine learning.
Proven ability to independently deliver end‑to‑end data science systems from problem framing through measurable production impact.
Demonstrated experience in at least two of: forecasting, experimentation, optimization, recommendation systems, pricing, causal inference, or portfolio science.
Comfortable operating in fast‑paced, startup‑style environments with evolving priorities and high ownership expectations.
Technical Skills Strong Python proficiency across pandas, scikit‑learn, PyTorch, and TensorFlow
Strong SQL and large‑scale data manipulation experience
Solid grounding in statistical modeling, machine learning, experimentation, and optimization
Hands‑on experience building production‑grade batch and low‑latency real‑time decision systems
Familiarity with multi‑stage ranking systems, ANN retrieval, embeddings, and vector search is strongly preferred
Soft Skills Strong communication skills with ability to present complex findings to business and technical stakeholders
Collaborative mindset with ability to work cross‑functionally with DS, MLE, and product teams
Strong execution bias and comfort with rapid iteration under ambiguity
Preferred Qualifications Experience as an early or founding Data Scientist in a new team or product area




Hands‑on portfolio optimization, assortment optimization, payout optimization, or mathematical programming
Experience with personalization, gaming, retail, marketplace, or digital consumer decision systems
Familiarity with Databricks, PySpark, MLflow, experimentation tooling, and cloud‑native deployment workflows
Strong product intuition for balancing revenue, engagement, margin, and responsible use constraints
SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
If you’d like more information about your equal employment opportunity rights as an applicant under the law,
Relentless innovation. Legendary performance. And unwavering security. All built on a foundation of trusted partnerships.
And to propel the industry ever forward. At Scientific Games, we elevate play every day. From cutting‑edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we care about the details that drive profits for lottery beneficiary programs. We know what people like to play today. And with the power of data analytics, we can predict what they'll want to play tomorrow. We're always thinking about the player experience. Because it's not just a game. It's an instant of optimistic fun. But the best part? We're just getting started. iLottery and sports betting are the recent frontier in play. And Scientific Games is the partner of choice for these growing markets. Because when it comes to digital, trust is everything. The lottery experience is always one of excitement. But we're endlessly innovating, always evolving and firmly committed to responsible gaming. So that the future of lottery funding shines bright. It's a future of stability and inspiration. The strength of security paired with the thrill of the recent. It's the future of Scientific Games. The driver of today's favorite lottery games and most advanced technologies, and sustainability for tomorrow. And it all starts now.

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📌 Senior Data Scientist (Ontario)
🏢 Les Produits Scientific Games Canada
📍 Ontario