Senior Data Scientist

💰 $128k-$143k
🇨🇦 Canada - Remote
📊 Data🟣 Senior

Job description

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

  • Machine Learning System Ownership:

  • 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
  • Expert level 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 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

Our success is due to the hard work of our people. We share our success with our people through flexible benefits and reward programs, sweet swag, snacks, and more. Here’s a look at some of the support we provide our people:

  • Extended Health Coverage: effective day one, no waiting period! Our benefits cover health, dental, life, and disability, and extended paramedical services such as vision care, mental health practitioners, massage, physiotherapy, acupuncture, and much more.
  • Flexible Spending Accounts: our benefits include commuter benefits, additional healthcare spending, and dependent care.
  • 401K Matching: everyone retires eventually, and we help our people save for their futures with a contribution matching program for their 401K.
  • PTO and Parental Leave: we offer paid parental leave, unlimited paid time off, paid time off for volunteering, sick leave, and holiday closures.
  • Employee and Family Assistance Program: this program provides crisis management support, immediate mental health care, and generalized support for emotional, mental, and financial well-being.
  • Learning and growth: we encourage people to grow both personally and professionally, and support this through regular lunch & learns and a stipend to a LifeBalanced account, which can be applied to learning as well as other personal expenses.
  • Pay transparency: we share with employees the pay range their role falls within and clear career maps to determine how they can grow within their role or level-up to a promotion.
  • Cool spaces: our offices are in San Francisco, Los Angeles, Vancouver, Montreal, Prince Edward Island, and Seoul. Whether it’s trying new local eats while enjoying the view in downtown SF or DTLA - we want our people to feel like their time spent in office is worthwhile!
  • Giving back: Kabammers have a dedicated paid day off every year to volunteer to a cause close to their hearts. Some teams even band together for group volunteer days off-site!
  • Hybrid Work: Kabammers typically spend at least three days per week in office. We believe in blending in-office collaboration with the freedom of remote work, and want everyone to have flexibility while fostering strong connections.

$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!

If you’re interested in the position but your expectations don’t fully align with the provided range, we still encourage you to apply! Considerations may be made based on your experience level.

Excited by this opportunity? Kabam is dedicated to growing our diverse and inclusive workforce, so if your past experience doesn’t perfectly match the listed requirements we encourage you to apply anyways - you could be a great fit for this or other positions.

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, 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.

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