The senior data scientist advocates for machine learning to change the way we make and operate our world-class games. You will lead a team to design and implement end-to-end machine learning systems for production.
Working alongside the most talented data scientists and analysts in the data science and analytics department; a centralized department that works with stakeholders throughout the company.
As a senior data scientist, you are expecting to:
Identify opportunities for machine learning in our products
Query our petabyte-scale database to extract game data
Conduct exploratory data analysis, hypothesis testing, and feature engineering
Build and evaluate machine learning models to improve in-game features and boost product metrics
Work with engineers to deploy models (batch predictions, microservices, and monitoring)
Communicate a machine learning roadmap to company leadership
Coordinate machine learning initiatives with production, design, and engineering teams
Mentor data science team members
Push and design the machine learning tech stack
Help develop strategy and vision of the data science team
In order to be successful for this role, we are looking for:
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/application companies
Professional level Python programming skills (NumPy, pandas)
Proficient with machine learning libraries: eg. scikit-learn, TensorFlow, PyTorch
Strong SQL skills (joins, subqueries, analytic functions)
Experience identifying and delivering machine learning solutions for business problems
Significant experience with end to end machine learning including deploying machine learning models to production
Can drive projects independently, maneuver through imperfect data or experimentation, and pivot goals or targets with ease
Communicates in a clear, concise, and professional manner with staff at all levels; justifies decisions, and achieves peer consent
It will be a plus if you also have:
Software/ML or data engineering experience
Ph.D. in a STEM discipline
Management Experience
Experience working with Docker, Airflow, Bigquery, Tableau, Github
Game industry experience
Experience with Pytorch, Tensorflow, Other Deep Learning Libraries
Experience with recommendation systems
Background in advanced statistics
Experience working with Google Cloud Platform, or other cloud-based machine learning platform
Evidence of continued learning
Active Github or Kaggle Profile
Excited by this opportunity? We invite you to apply now and start the conversation with us. Together, we can create and support some of the best games ever made and entertain the world!
About Kabam
Kabam is a world leader in developing entertaining, immersive, and highly social multiplayer games, bringing high-quality graphics, next-generation technology, and revolutionary gameplay to players around the world.
Kabam’s games, Marvel Contest of Champions, Disney Mirrorverse, Shop Titans, and Transformers: Forged to Fight, have generated hundreds of millions of downloads and have received multiple awards including Apple’s Editor’s Choice and Google Play’s Best Game of the Year.
Founded in 2006, Kabam has studios and offices in North America, including Vancouver and Montreal in Canada, and Los Angeles and San Francisco in the United States. Kabam is a wholly-owned subsidiary of Netmarble Games.
Kabam is an Equal Employment Opportunity employer committed to building a diverse and equitable workplace, and inclusive environment for all existing and potential employees. Employment decisions are based on candidate qualifications and business need, not race, color, ancestry, place of origin, age, sex (including pregnancy), gender identity or expression, sexual orientation, political belief, religion, creed, marital or family status, medical condition, genetic information, physical or mental disability, military or veteran status, prior criminal conviction or any other protected class in accordance with federal, state or provincial and local laws and ordinances. Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.
