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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!This role is a full-time, on-site position based 5 days a week at our Downtown Vancouver studio.
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, disability, and extended paramedical services such as vision care, mental health practitioners, massage, physiotherapy, acupuncture, and much more.
DEIB Benefits: DEIB is important to us and to our people - that’s why our benefits include gender-affirming care, fertility care, and other hormonal treatments and drugs.
Flexible Spending Accounts: our benefits are built on a flex credit model, so you’re able to choose the coverage levels that are right for you, and allocate the rest to a group RRSP/TFSA, Health Spending account, and/or Personal Spending Account.
RRSP Matching: everyone retires eventually, and we help our people save for their futures with a contribution matching program once you reach 90 days with us.
Commuter Benefit: we believe in the power of in-person collaboration, and want to support you in making it work for you! We provide a flexible, monthly cash allowance to help cover the costs of transit, parking, or even personal logistics like childcare and pet care.
PTO and Parental Leave: we offer paid parental leave, flexible 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.
Telus Virtual Health: we provide increased access to remote healthcare providers for prescription refills or referrals from the comfort of your home.
Learning and growth: We encourage people to grow both personally and professionally, and support this through regular lunch & learns and an education stipend.
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 Vancouver, Montreal, Los Angeles, and San Francisco. Whether it’s summers on the rooftop patio in Downtown Vancouver, or watching the fireworks in Montreal’s South Shore - 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!
$128,000 - $168,000 a yearThe 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.