Senior Data Scientist

Overview Senior Data Scientist role at Kabam. We are looking for a Senior Data Scientist with a focus on machine learning and statistical methods to design, implement, and own end-to-end production on machine learning systems in a cloud environment. This role supports fostering a data-driven culture, rigorous statistical testing, and cross-functional collaboration in a fast-paced, exciting industry. Responsibilities Opportunity identification and value assessment: identify opportunities for machine learning and automated data-driven services in products; assess value, risks, and costs; architect solutions derived from functional and non-functional requirements. Data extraction and analysis: master SQL to query our data warehouse, conduct exploratory data analysis, statistical testing, and feature engineering; work with data engineers to define data pipelines and feature stores; review others\' 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, monitoring); mentor junior team members; be recognized as an expert in ML areas within the business. Statistical testing and experimental design: design experiments with stakeholders, analyze results, contribute to Bayesian A/B testing platform; communicate results clearly to non-technical audiences; promote a statistically driven problem-solving approach. Communication and collaboration: communicate goals, progress, and outcomes with production, design, and engineering teams; excellent presentation and data visualization skills; work with senior stakeholders to understand future requirements. Qualifications Master\'s Degree in a STEM discipline (thesis-based preferred). 4+ years of industry experience in data science, preferably in large-scale client-facing software/web/application contexts. Expert Python programming skills; deep knowledge of machine learning libraries such as scikit-learn and PyTorch. Experience deploying machine learning models into production. Expert SQL skills and appreciation for data engineering principles. Strong data visualization skills (preferably Tableau). Comfortable in cloud environments, particularly GCP and Databricks. Ability to drive projects independently, handle imperfect data or experimentation, and pivot goals as needed. Ability to mentor and guide junior team members; clear, concise, professional communication with staff at all levels; ability to justify decisions and gain peer consensus. Benefits Extended health coverage from day one (health, dental, life, disability, and extended paramedical services). Flexible spending accounts for commuting, healthcare, and dependent care. 401K matching with contribution generosity. PTO and parental leave, volunteering time off, sick leave, and holiday closures. Employee and family assistance program for crisis management and well-being. Learning and growth support, including training opportunities and stipends. Pay transparency with pay ranges and clear career maps. Hybrid work model with offices in multiple locations; flexible in-office and remote work. Dedicated paid day off for volunteering; team-based volunteer opportunities. The salary range listed is specific to Vancouver candidates and may be adjusted based on experience. Typical range: $128,000 - $143,000 CAD per year. We encourage applications from candidates whose experience may not align perfectly with every listed requirement; considerations may be made based on experience level. Kabam is an equal employment opportunity employer committed to a diverse and inclusive workplace. About Kabam Kabam is a world leader in developing entertaining, immersive, and highly social multiplayer games. Our games have generated hundreds of millions of downloads and received multiple awards. Kabam was founded in 2006 with studios in Vancouver, Montreal, Charlottetown, Los Angeles, San Francisco, and Seoul. Kabam is a wholly-owned subsidiary of Netmarble Games. Kabam is an Equal Employment Opportunity employer committed to diversity, equity, and inclusion. Accommodations are provided as requested during the selection process. #J-18808-Ljbffr