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Day 6
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Product Data Science Manager
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingLead and guide a team of product data scientists
Turn first- and third-party data into product insights
Own data quality, reliability and accuracy
Build data pipelines and run real-world tests
From the employer’s posting
Leading a team of product data scientists
turn 1st-party and 3rd-party data into insights that directly influences product development
Take stewardship of data to heart as you seek reliability, accuracy, and reliability
Build data pipelines and use your extreme numerical fluency and statistical methods to run tests in the real world
What you’ll bring
All qualificationsCore experience
- Extreme numerical fluency and statistical methods
Qualification wording
use your extreme numerical fluency and statistical methods
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Jun 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Shopify is hiring
20 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on www.shopify.com. The employer’s form will show what is required.
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
At Shopify, data isn't just numbers—it's the voice of our merchants, buyers, and developers. Listening to this voice is key to revolutionizing commerce for everyone.
Data science sits at the heart of Shopify's mission—not on the sidelines. Unlike traditional analytics roles, you'll directly influence product roadmaps and business strategy. Your recommendations will reach billions of buyers across the globe as merchants put your work into action every day. Each insight you uncover doesn't just support our mission—it drives it forward in ways that change what's possible for entrepreneurs.
Product Data Science Managers go big on details that drive product decisions. This is not a supporting role for the product. They know the minutiae really matters and turn 1st-party and 3rd-party data into insights that directly influences product development. But not alone. Leading a team of product data scientists is about balancing deep craft work to unearth problems and propose fast-paced solutions.
Why you’ll love working at Shopify:
Lead an elite team. Guide, support, and challenge talented data scientists with deep craft knowledge and pace.
Own data quality. Take stewardship of data to heart as you seek reliability, accuracy, and reliability.
Be in the numbers. Build data pipelines and use your extreme numerical fluency and statistical methods to run tests in the real world.
Ready to steward the charge? Join the team that's making commerce better for everyone.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Americas
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.