Senior Data Scientist

Overview

At Kabam, we’re constantly raising the bar of excellence in free-to-play gaming. We hire for passion and diversity so that we can triumph in our collective skill. Our teams are bound together by a collaborative nature, a fun-loving culture, and a drive to make great games. This is where you come in.

We are looking for a Senior Data Scientist with a focus on machine learning and statistical methods to change the way we make and operate our world-class games. This person will design, implement and own end-to-end production on machine learning systems in a cloud environment. If you want to foster a data-driven culture, focus on statistical testing and rigour, mentor junior team members, and work cross-functionally in a fast-paced industry, this may be the role for you.

• Opportunity Identification and value assessment: Identify opportunities for machine learning and automated data-driven services in our products; assess potential value, risks and costs; architect solutions derived from functional and non-functional requirements.
• Data Extraction and Analysis: Use SQL to query our petabyte-scale data warehouse; conduct exploratory data analysis, statistical testing, and feature engineering; work with data engineers to form requirements for data pipelines and feature stores; review work for accuracy and completeness.
• Machine Learning System Ownership: Develop and own end-to-end machine learning systems; deploy models in a cloud environment (batch/real-time predictions, microservices, and monitoring); assist junior members; become a recognised expert in specific ML areas within the business.
• Statistical testing and experimental design: Design experiments with stakeholders; analyse results; contribute to the Bayesian A/B testing platform; communicate technical results to non-technical audiences; promote a statistically driven approach to problem solving.
• Communication and
  
  Collaboration:
  
  Communicate project goals, progress, and outcomes with production, design, and engineering teams; present data visually; work with senior stakeholders to understand future requirements.

• Master's Degree in a STEM discipline, preferably thesis-based
• 4+ years of industry experience in data science, preferably in large-scale client-facing software/web/applications
• Expert level Python programming skills
• Deep knowledge of machine learning libraries such as scikit-learn and Py Torch
• Experience deploying machine learning models into production
• Expert SQL skills and appreciation for data engineering principles
• Strong data visualization skills, preferably with Tableau
• Comfortable in cloud environments, particularly GCP and Databricks
• Ability to drive projects independently, navigate imperfect data or experimentation, and pivot goals with ease
• Ability to mentor and guide junior team members
• Clear, concise, and professional communication with staff at all levels; justify decisions and achieve peer consensus

• Extended Health Coverage from day one, including health, dental, life, disability, and extended paramedical services
• Flexible Spending Accounts including commuter benefits and dependent care
• 401K Matching with contribution matching
• PTO and Parental Leave including paid parental leave, unlimited PTO, volunteering time off, sick leave, and holiday closures
• Employee and Family Assistance Program for mental health and well-being support
• Learning and growth through regular sessions and a stipend for learning and personal development
• Pay transparency with clear career maps and pay range information
• Hybrid Work with in-office presence encouraged while supporting remote work

Salary: $128,000 - $143,000 a year. The typical hiring range listed is specific to candidates located in Vancouver. The salary will be determined based on knowledge, skills and competencies, with room to grow after joining. If your expectations don’t fully align with the range, considerations may be made based on experience.

Excited by this opportunity? Kabam is dedicated to growing a diverse and inclusive workforce. If your past experience doesn’t perfectly match the listed requirements, we encourage you to apply anyway. You…