Senior Data Scientist

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 [email protected] or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.

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