SENIOR DATA SCIENTIST

Location: Vancouver, BC Team: Data Type: Regular Full-Time (On-site)

ABOUT THE OPPORTUNITY

Our client is a leading innovator in the free-to-play gaming space, known for delivering world-class player experiences through data-driven decision making and cutting-edge technology. Their collaborative, high-energy culture brings together diverse talent focused on building and operating exceptional games.

They are seeking a Senior Data Scientist with strong machine learning and statistical expertise to help transform how data informs game development and live operations.

This is a full-time, 5-days-per-week onsite role in Downtown Vancouver.

THE ROLE

In this position, you will design, implement, and own end-to-end production machine learning systems in a cloud environment. You’ll play a key role in fostering a data-driven culture, mentoring junior team members, and partnering cross-functionally across product, design, and engineering.

This role is ideal for someone who thrives in fast-paced environments and enjoys taking ML solutions from concept to production.

KEY RESPONSIBILITIES

OPPORTUNITY IDENTIFICATION & VALUE ASSESSMENT

• Identify opportunities for machine learning and automated data services

• Evaluate potential value, risks, and costs of proposed solutions

• Architect solutions from functional and non-functional requirements

DATA EXTRACTION & ANALYSIS

• Query petabyte-scale data warehouses using advanced SQL

• Conduct exploratory data analysis, statistical testing, and feature engineering

• Partner with data engineers on pipeline and feature store requirements

• Review team outputs for accuracy and completeness

MACHINE LEARNING SYSTEM OWNERSHIP

• Develop and own end-to-end ML systems

• Partner with engineers to deploy models in cloud environments (batch and real-time)

• Support and mentor junior team members on data systems

• Serve as a subject matter expert in key ML domains

STATISTICAL TESTING & EXPERIMENTAL DESIGN

• Design experiments and analyze results with stakeholders

• Contribute to Bayesian A/B testing platforms

• Translate technical findings for non-technical audiences

• Champion statistically rigorous decision-making

COMMUNICATION & COLLABORATION

• Communicate project goals, progress, and outcomes cross-functionally

• Deliver strong data visualizations and presentations

• Partner with senior stakeholders to anticipate future needs

REQUIRED BACKGROUND

• Master’s degree in a STEM discipline (preferably thesis-based)

• 4+ years of industry experience in data science (ideally in large-scale software/web environments)

• Expert-level Python programming

• Deep experience with machine learning libraries (e.g., scikit-learn, PyTorch)

• Proven experience deploying ML models into production

• Advanced SQL skills and strong understanding of data engineering principles

• Strong data visualization experience (Tableau preferred)

• Experience working in cloud environments (especially GCP and Databricks)

• Ability to independently drive projects through ambiguity

• Demonstrated experience mentoring junior team members

• Strong, clear communication skills across technical and non-technical audiences

COMPENSATION

Salary Range (Vancouver): $128,000 – $168,000 CAD

Actual compensation will be based on experience, skills, and overall fit, with room for growth over time.

BENEFITS & PERKS SNAPSHOT

Our client offers a comprehensive and flexible total rewards program designed to support employees’ health, wellbeing, and growth, including:

• Day-one extended health coverage

• Flexible benefits spending accounts

• Retirement savings matching program

• Monthly commuter support allowance

• Generous PTO and paid parental leave

• Employee & Family Assistance Program

• Virtual healthcare access

• Learning stipend and development programs

• Inclusive and collaborative office environments

• Paid volunteer day

Our client is committed to building a diverse and inclusive workforce and encourages applicants whose experience may not perfectly match every requirement to apply.