Spin Master Ltd

Senior Data Scientist

Spin Master Ltd Toronto, Ontario, Canada · CA$100K–CA$115K/yr

Manufacturing · 1,001-5,000 employees

Yesterday
data-scientist Mid (2-5 yrs) Full-time Canada
Log in to apply, save this posting, or score it against your profile with AI.

About the role

You will act as the analytical link between raw data and business growth by building full-cycle analytics experiments and scalable data products. You will partner with cross-functional teams to provide insights, measure key metrics, and drive decision-making through statistical rigor.

What they look for

Data science SQL Python Statistical modeling Machine learning A/B testing Hypothesis testing Data analytics Growth analytics Business intelligence Tableau Looker Cohort analysis Time series analysis Stakeholder management Segmentation

Requirements

Candidates must have 4+ years of experience in data science or growth analytics, ideally within a B2C subscription or mobile app environment. Proficiency in Python and SQL is required, along with experience in experimentation, statistical modeling, and stakeholder management.

Benefits

Growth and career opportunities Flexible work hours Comprehensive benefits

Full description

Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.

Are you a kid at heart looking to build a career with a leading global children's toy, entertainment and digital gaming company?

At Spin Master, our unwavering commitment to open mindedness, integrity and innovation is a great part of what has made us an industry leader. How do we stay ahead of the pack? By hiring the best and brightest minds—and that’s why we want you!

Job Description:

What will you work on?

We're building a world-class subscription business that delights kids and earns the trust of parents — and we need someone who owns the commercial math behind it.

You'll be the analytical link between raw data and business growth: not just reporting what the KPIs say but explaining why they moved and what to do next. When M1 retention dips or subscriber activations spike, you'll know whether to reach for a cohort breakdown, a segmentation model, or a conversation with the product analyst who owns that surface — and you'll know which one actually answers the question.

How will you create impact?

  • Be a first-class thought partner to our product, business, finance and executives and help them make decisions on what's next for Piknik
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python and statistical tools
  • Build scalable, reusable data products — self-serve dashboards, forecasting tools, segmentation pipelines — that outlive a single request, rather than one-off analyses
  • Identify and measure levers to help move essential metrics, and produce recommendations grounded in statistical rigor and hypothesis testing
  • Provide insights to enable our cross-functional team to understand industry dynamics, subscriber dynamics, and long-term trends
  • Work backwards from understanding and sizing problems to ideating solutions
  • Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
  • Possess excellent stakeholder management skills, know how to effectively collaborate well with product, marketing, finance and data engineering to set priorities

What are your skills and experience?

  • 4+ years of experience in data analytics or data science, growth analytics, ideally in a B2C subscription, mobile app, or consumer product business
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
  • The determination to initiate and lead/own strategic projects to completion with a cross-functional team
  • Experience working with experimentation techniques (A/B testing, hypothesis testing) and interpreting results
  • Proficiency in at least one programming language (Python)
  • Expertise with SQL queries
  • Experience developing and using business intelligence tools, such as Preset, Tableau, and Looker
  • Experience building and training statistical and machine learning models (classifiers, regression models...)
  • Experience working with user segmentation, cohort analyses, time series analyses
  • Experience with Apple Store and Google Play data
  • Exposure to causal inference methods (e.g., diff-in-diff, propensity matching) a plus, not required

#LI-Hybrid and #LI-HM1

The anticipated pay range for candidates who will work in Ontario is $100,000 to $115,000 Per Annum. The offered pay to a successful candidate will be dependent on several factors that may include but are not limited to years of experience within the job, years of experience within the required industry, education, etc. Spin Master Inc. is a multi-state employer, and this salary range may not reflect positions that work only in other states.

This job posting is tied to an open vacancy.

What you can expect from us:

Our mission is to Make Life More Fun with a vision to push the boundaries of innovation, creativity, and fun.

  • Growth and Career Opportunities
  • Flexible Work Hours
  • Innovation, Collaboration and Fun
  • Comprehensive Benefits
  • Other fun Perks!

What’s it like to work here?

Spin Master is a fast-paced, hands-on organization that provides many great opportunities for impactful decision-making; though our challenging start-up atmosphere isn’t for everyone, we have a proven record of opportunities for future advancement and internal transfers for our passionate and results driven team.

Everyone is welcome in our sandbox and we are committed to an accessible and inclusive hiring process that provides reasonable accommodation to all applicants.

Spin Master strives to create an accessible and inclusive application and selection process and is committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at TAinquiries@spinmaster.com or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.

Follow us on Instagram and Twitter @SpinMaster to stay up to date on Spin Master career opportunities.

We do appreciate all interest; however only those selected for interview will be contacted.

Similar roles