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About the Role

We are seeking a founding Senior Data Scientist to build high-impact decision systems within a large organization, operating in a fast-paced, startup-style environment. This hands-on role is for individuals who excel in ambiguity, rapidly move from concept to production, and are motivated by transforming complex business challenges into scalable data products. You will collaborate with senior data scientists to deliver production-grade systems for forecasting, experimentation, optimization, pricing, and recommendation engines, taking end-to-end ownership from problem definition to production deployment.

Responsibilities

Design, build, and deploy end-to-end decision science systems including demand forecasting, experimentation, portfolio optimization, pricing, and recommendation systems.
Construct batch and real-time recommendation pipelines utilizing multi-stage cascading ranking architecture.
Translate ambiguous business problems into structured hypotheses, measurable KPIs, experimentation plans, and production solutions.
Collaborate with MLEs to utilize self-service deployment tooling, observability, shadow deployment, canary rollout, and KPI monitoring workflows.
Take end-to-end ownership of domain problem areas, driving measurable business impact through rapid iteration.
Contribute to modeling standards, code quality, validation rigor, and experimentation best practices.
Mentor junior Data Scientists and support the technical growth of the founding team.

Requirements

Master’s degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field.
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.
Strong Python proficiency with 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.
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.
Experience as an early or founding Data Scientist in a new team or product area is preferred.
Hands-on portfolio optimization, assortment optimization, payout optimization, or mathematical programming is preferred.
Experience with personalization, gaming, retail, marketplace, or digital consumer decision systems is preferred.
Familiarity with Databricks, PySpark, MLflow, experimentation tooling, and cloud-native deployment workflows is preferred.
Strong product intuition for balancing revenue, engagement, margin, and responsible use constraints is preferred.

Skills

Python
pandas
scikit-learn
PyTorch
TensorFlow
SQL
Statistical modeling
Machine learning
Experimentation
Optimization
Forecasting
Recommendation systems
Multi-stage ranking systems
ANN retrieval
Embeddings
Vector search
Databricks
PySpark
MLflow
Cloud-native deployment

Location

Toronto, ON

Work Type

Remote
Hybrid

Experience Level

Senior
2+ years of hands-on experience

Education Level

Master’s degree
PhD

About the Company

Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries.
We offer cutting-edge backend systems, exciting entertainment experiences, and trailblazing retail and digital solutions.
We push game designs to the next level and are pioneers in data analytics and iLottery.
Our foundation is built on trusted partnerships, relentless innovation, legendary performance, and unwavering security.
We responsibly propel the global lottery industry ever forward.

Equal Opportunity

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.
Information about equal employment opportunity rights as an applicant under the law is available via the EEOC Poster.