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Shopify Data Scientist Jobs (NOW HIRING)

Data Scientist

New York, NY · On-site

$200K - $225K/yr

Our team includes alumni of Shopify, Square, Toast, Rippling, and McKinsey. We've raised $42M in ... This role blends data science, customer analytics, financial analysis, and market insights to ...

Lead Data Scientist

New York, NY · On-site

$225K - $275K/yr

We're backed by leading venture and edtech investors including Bessemer Venture Partners (Shopify ... We've already started building something we think fundamentally rethinks how data science gets done ...

Shopify Developer

Fargo, ND

$102.10K - $118.80K/yr

... science-backed, high-quality products that support healthier lives ... We are a digitally driven organization investing in innovation, customer experience, and data ...

Shopify Developer

Fargo, ND · On-site

$102.10K - $118.80K/yr

... science-backed, high-quality products that support healthier lives ... We are a digitally driven organization investing in innovation, customer experience, and data ...

Senior Shopify Engineer

Somerville, MA · On-site

$133.70K - $176.20K/yr

Partner with the headless front-end teams and provide backend expertise, data, and API endpoints ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

Senior Shopify Engineer

Somerville, MA · On-site

$133.70K - $176.20K/yr

Partner with the headless front-end teams and provide backend expertise, data, and API endpoints ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

How We Work Our culture is inclusive, collaborative, fast-paced, and data-driven. We've been ... Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's degree ...

Senior Data Analyst, Commerce

Palo Alto, CA · On-site +1

$101.10K - $127.50K/yr

Director Data Science + Analytics About Midi Health: Midi Health is the fastest-growing virtual ... Build reporting to track Rx medication refills and Shopify supplement subscriptions. Analyze the ...

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Showing results 1-20

Shopify Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do shopify data scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for shopify data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Shopify Data Scientist, and why are they important?

To thrive as a Shopify Data Scientist, you need a strong background in statistics, data analysis, and programming, typically supported by a degree in a quantitative field. Familiarity with tools like Python, SQL, machine learning frameworks, and Shopify’s data platforms is essential. Excellent problem-solving skills, effective communication, and business acumen help translate complex data into actionable insights. These capabilities ensure data-driven decisions that improve Shopify's products and drive business growth.

What are some common challenges faced by Shopify Data Scientists when working with e-commerce data?

Shopify Data Scientists often encounter challenges such as handling large, complex datasets from multiple sources, ensuring data quality, and dealing with incomplete or inconsistent information. They must also design models that can adapt to rapidly changing consumer behaviors and seasonal trends. Collaborating closely with product and engineering teams is essential to align insights with business goals, and there is a continuous need to balance analytical rigor with the fast-paced demands of the e-commerce environment.

What does a Shopify Data Scientist do?

A Shopify Data Scientist analyzes large volumes of data generated by e-commerce stores on the Shopify platform to uncover trends, optimize business strategies, and drive decision-making. They use statistical models, machine learning, and data visualization tools to interpret store performance, customer behavior, and sales patterns. Their insights help improve marketing campaigns, inventory management, and customer experiences. In addition, they collaborate with teams across engineering, product, and marketing to integrate data-driven solutions that enhance the overall performance of Shopify merchants.

What is the difference between Shopify Data Scientist vs Shopify Data Analyst?

AspectShopify Data ScientistShopify Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Analytics, Business, or related field; proficiency in data visualization and reporting tools
Work EnvironmentDevelops predictive models, advanced analytics, machine learning algorithmsPerforms data cleaning, reporting, and basic analysis to support business decisions
Employer & Industry UsageUsed in e-commerce platforms like Shopify for product recommendations, customer segmentationUsed for sales reporting, dashboard creation, and operational insights within Shopify stores

The main difference between a Shopify Data Scientist and a Shopify Data Analyst lies in their focus and skill set. Data Scientists develop complex models and algorithms to predict trends and automate processes, requiring advanced technical skills. Data Analysts focus on interpreting data, creating reports, and providing actionable insights to support business strategies. Both roles are essential in the Shopify ecosystem but serve different analytical needs.

More about Shopify Data Scientist jobs
What cities are hiring for Shopify Data Scientist jobs? Cities with the most Shopify Data Scientist job openings:
What states have the most Shopify Data Scientist jobs? States with the most job openings for Shopify Data Scientist jobs include:
Infographic showing various Shopify Data Scientist job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Sr. Data Scientist - Customer Lifetime Value Modeling

Sr. Data Scientist - Customer Lifetime Value Modeling

Spartan Technologies, Inc.

Manhattan, NY • On-site

Full-time

Posted 26 days ago


Job description

We have an immediate need for a Senior Data Scientist with Customer Lifetime value modeling and can function without the aid of a BI team to get their data. This position is located in New York (Hybrid or Remote). This is a full-time / direct hire opportunity with a competitive salary and bonus plan. You must be a US Citizen or Green Card holder to be considered. No sponsorship or visa transfers are available for this role.
What You'll Do
  • Lead initiatives to develop new products and solutions that provide advanced consumer insights and predictive analytics for brands.
  • Focus on product development for partnerships, enhancing the capability of brands to understand and engage with their consumers effectively.
  • Utilize data mining and statistical analysis to generate insights from consumer profiles, contributing to the Company's innovative consumer insights platform.
  • Leverage third-party data sources, including Shopify, to enhance the breadth and depth of our consumer insights.
  • Collaborate with sales and product teams to identify opportunities for growth and innovation in the consumer insights domain.
  • Engage in high-stakes presentations, requiring strong presentation skills to convey complex data in a clear and impactful manner.

What You Need
  • ETL experience or SQL (needs to be able to move data)
  • Customer Lifetime Value Modeling
  • Minimum 4 years as a Data Scientist, with at least 8 years of work experience in analytics or consumer insights.
  • Demonstrated expertise in manipulating large data sets and building statistical models, with a focus on consumer insights.
  • Proficiency in Python, SQL, and experience with third-party data sources like Shopify.
  • Strong background in statistical analysis and problem-solving, with a specific focus on product development and consumer behavior insights.
  • Excellent written and verbal communication skills, particularly in presentation contexts.
  • An entrepreneurial, self-motivated, detail-oriented, and organized approach to work.
  • Bachelor's or higher degree in Computer Science, Engineering, Economics, Mathematics, Statistics, Data Science, or a relevant quantitative field.