Senior Data Scientist

T-Net British Columbia; Vancouver; On-site; CAD 128,000 - 143,000; Full time

Job summary

A leading gaming company in Vancouver is looking for a Senior Data Scientist to work on machine learning systems. The role includes designing, implementing, and owning end-to-end production systems while mentoring junior members. Ideal candidates should have a Master's degree, along with extensive experience in data science and knowledge of SQL, machine learning libraries, and cloud environments. A competitive salary of $128,000 - $143,000 is offered with growth opportunities.

Qualifications

• 4+ years of industry experience in data science, ideally in client-facing roles.
• Deep knowledge of deploying machine learning models into production.
• Experience with cloud environments and data engineering principles.

Responsibilities

• Identify opportunities for machine learning in products.
• Extract data using SQL from a large data warehouse.
• Design experiments and analyze results with stakeholders.

Skills

Machine learning libraries (e.g., scikit-learn)

SQL

Data visualization skills

Statistical testing

Education

Master's Degree in a STEM discipline

Tools

Tableau

GCP

Databricks

Job description

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 made up of a fusion of personalities and interests bound together by a collaborative nature, fun-loving culture, and a drive to do what it takes to make great games. And 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 are someone who wants to foster a data-driven culture, focus on statistical testing and rigour, mentor junior team members, and work cross-functionally in a fast-paced and exciting industry, this may be the role for you!

In this role, you can expect to be responsible for:

• Opportunity Identification and value assessment: Help to identify opportunities for machine learning and automated data-driven services in our products.
• Assess potential value, risks and costs of new solutions
• Architect solutions derived from functional and non functional requirements
• Data Extraction and Analysis: Using a mastery of SQL, query our petabyte-scale data warehouse to extract and work with data
• Conduct exploratory data analysis, statistical testing, and feature engineering
• Work with data engineers to form requirements for data pipelines and feature stores
• Review work from other team members to assess for accuracy and completeness
• Develop and own end-to-end machine learning system(s)
• Work with engineers to deploy models in a cloud environment (batch/real-time predictions, microservices, and monitoring)
• Assist junior members of the team with additional data systems
• Be a recognised expert in specific areas of machine learning within the business
• Statistical testing and experimental design: Work with stakeholders to design experiments and analyse results
• Contribute to our Bayesian A/B testing platform
• Communicate technical results clearly to non-technical audiences
• Promote a statistically driven approach to problem solving within the company
• Communication and Collaboration: Communicate project goals, progress, and outcomes with production, design, and engineering teams.
• Excellent presentational and data visualization skills
• Work closely with senior members of stakeholder teams to understand their future requirements

To be successful in this role, your background includes:

• 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
• 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 with Tableau
• Comfortable in cloud environments, particularly GCP and Databricks
• Can drive projects independently, maneuver through imperfect data or experimentation, and pivot goals or targets with ease
• Ability to mentor and guide junior team members
• Communicates in a clear, concise, and professional manner with staff at all levels; justifies decisions, and achieves peer consent

Compensation and benefits

$128,000 - $143,000 a year

The typical hiring range listed above is specific to candidates located in Vancouver. The salary will be determined based on your knowledge, skills and competencies, and you\'ll have room to grow after you join!

Our commitment to diversity and inclusion

Kabam is dedicated to growing a diverse and inclusive workforce and encourages you to apply even if your past experience doesn\'t perfectly match the listed requirements.

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, Shop Titans, and more 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 Vancouver, Montreal and Charlottetown in Canada, Los Angeles and San Francisco in the United States, and in Seoul, South Korea. 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, 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.