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Added 7 mins ago
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Working Title: Accounting Officer/Purchasing Team Lead

Spin Master Ltd

Senior Data Scientist

Toronto, ON, M5T 1X3, Canada

Pay: The anticipated pay range for candidates who will work in Ontario is $100,000 to $115,000 Per Annum.
Job type: Full-time
Experience: 4+ years of experience in data analytics or data science, growth analytics, ideally in a B2C subscription, mobile app, or consumer product business
Posting language: English
Posted: Aug 17, 2026

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Original job 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

and

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.

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More about this job

Responsibilities

You will act as the analytical link between raw data and business growth by building full-cycle analytics experiments, reports, and dashboards. You will also partner with cross-functional teams to provide insights and recommendations grounded in statistical rigor to drive decision-making.

Requirements

The role requires 4+ years of experience in data analytics or data science, ideally within a B2C subscription or mobile app environment. Candidates must possess strong proficiency in Python, SQL, and experience with statistical modeling and experimentation techniques.

Skills

Data science
SQL
Python
Statistical tools
A/B testing
Hypothesis testing
Data analytics
Growth analytics
Business intelligence
Tableau
Looker
Machine learning
User segmentation
Cohort analysis
Time series analysis
Causal inference

Benefits

Growth and career opportunities
Flexible work hours
Comprehensive benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Science
SQL
Python
A/B Testing
Hypothesis Testing
Growth Analytics
B2C Subscription
Mobile App
Business Intelligence
Preset
Tableau
Looker
Machine Learning
Classifiers
Regression Models
User Segmentation
Cohort Analysis
Time Series Analysis
Apple Store Data
Google Play Data
Causal Inference
Diff-in-diff
Propensity Matching
Data Engineering
Dashboarding
Forecasting
KPIs
Stakeholder Management
Statistical Rigor
Product Analytics

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