Senior Data Scientist

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 aSenior 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.