Senior Data Scientist at Kabam

Vancouver, British Columbia, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

GamingIndustries

Requirements

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

Responsibilities

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
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
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
Communicate project goals, progress, and outcomes with production, design, and engineering teams
Work closely with senior members of stakeholder teams to understand their future requirements

Skills

Key technologies and capabilities for this role

SQLMachine LearningStatistical TestingFeature EngineeringExploratory Data AnalysisData PipelinesFeature StoresCloud DeploymentMicroservicesModel Monitoring

Questions & Answers

Common questions about this position

What qualifications are required for the Senior Data Scientist role?

Candidates need a 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 companies), expert-level Python programming skills, deep knowledge of machine learning libraries like scikit-learn and PyTorch, experience deploying ML models into production, and expert SQL skills.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at Kabam?

Kabam has a fun-loving, collaborative culture with teams made up of diverse personalities and interests, driven by passion, a commitment to excellence in free-to-play gaming, and a focus on collective skill to make great games.

What makes a strong candidate for this Senior Data Scientist role?

A strong candidate will have a Master's in STEM, 4+ years in data science with production ML deployment experience, expert Python and SQL skills, and a passion for fostering a data-driven culture, statistical rigor, mentoring juniors, and cross-functional collaboration in gaming.

Kabam

Curated gifts including jewellery and accessories

About Kabam

Kabam offers a variety of unique gifts, particularly focusing on jewellery, bags, and accessories. Their product range includes styles that range from kawaii and kitsch to vintage and modern, with a strong emphasis on hand-crafted semi-precious items. Kabam caters to a diverse group of customers who are looking for distinctive and personalized gift options. The company operates in the retail market by sourcing and selling high-quality, niche products that appeal to consumers who appreciate originality and craftsmanship. Revenue is generated through direct sales on their online platform, targeting those who value unique and stylish items.

San Francisco, CaliforniaHeadquarters

2006Year Founded

$233.9MTotal Funding

SERIES_ECompany Stage

Consumer GoodsIndustries

1-10Employees

Benefits

Performance-Based Annual Incentives

401(k) Retirement Plan100% Covered Medical / Dental / Vision / Life Insurance

Accident, Disability, Insurances

Flexible Work Hours

Paid Half-Day Fridays

Paid Vacation / Sick Leave / Holidays / Christmas Break

Commuter Benefits (Post-COVID19 WFH)

Free Parking and Gym Access (Post-COVID19 WFH)

Free Meals & Snacks (Post-COVID19 WFH)

Risks

Increased competition from alternative app stores may dilute Kabam's market share.

Ending Disney Mirrorverse could lead to a loss of player base and revenue.

Continuous game updates require investment, potentially straining resources if not balanced.

Differentiation

Kabam offers a diverse range of free-to-play mobile and web games.

The company emphasizes unique, hand-crafted game content and seasonal events.

Kabam's strategy includes expanding to alternative app stores for wider reach.

Upsides

Cross-platform play enhances user engagement across Kabam's game titles.

Blockchain technology offers new monetization opportunities for Kabam's mobile games.

Alternative app stores provide Kabam with new distribution channels and audience reach.

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