Founding Senior Data Scientist - End-to-End Decision Systems

SCIENTIFIC GAMES; Toronto; Hybrid; CAD 120,000 - 190,000; Full time

Job summary

Scientific Games is seeking 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,

Qualifications

• 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.
• Experience in forecasting, experimentation, optimization, pricing, or recommendation systems is desirable.

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 with generation, pre-ranking, ranking, and re-ranking.
• Translate ambiguous business problems into structured hypotheses, measurable KPIs, and production solutions.
• Mentor junior Data Scientists and contribute to technical growth of the founding team.
• Collaborate with MLEs to leverage deployment tooling, observability, and KPI monitoring workflows.

Skills

Python

SQL

Statistical modeling

Machine learning

Experimentation

Communication

Education

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, OR related STEM field

Tools

Pandas

scikit-learn

PyTorch

TensorFlow

Databricks

PySpark

MLflow

Job description

Scientific Games is seeking 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,