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Shopify Data Science Jobs (NOW HIRING)

Midi Health

Senior Data Analyst, Commerce

Palo Alto, CA · On-site +1

$101K - $127K/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 ...

Highbeam, Inc

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 ...

Formlabs

Senior Shopify Engineer

Somerville, MA · On-site

$133K - $176K/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 ...

Formlabs

Senior Shopify Engineer

Somerville, MA

$133K - $176K/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 ...

ThirdLove

Shopify Engineer

Salt Lake City, UT · On-site +1

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 ...

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All JobsShopify Data Science Jobs

Shopify Data Science information

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$44.5K

$129.7K

$177.5K

How much do shopify data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for shopify data science in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Shopify Data Scientist?

A Shopify Data Scientist is a professional who analyzes data from the Shopify platform to provide insights that help businesses make informed decisions. They work with large datasets, using statistical methods, machine learning, and data visualization to uncover trends, optimize store performance, and improve customer experiences. Shopify Data Scientists may focus on areas such as sales analysis, customer behavior, marketing effectiveness, or inventory management. Their work helps merchants identify opportunities for growth and efficiency. They typically have strong skills in programming, statistics, and e-commerce analytics.

What is the difference between Shopify Data Science vs Shopify Data Analysis?

AspectShopify Data ScienceShopify Data Analysis
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and visualization skills
Work FocusDeveloping predictive models and algorithmsAnalyzing data sets to generate insights
Tools & TechnologiesPython, R, SQL, machine learning frameworksExcel, Tableau, SQL, data visualization tools
Industry UsageUsed in product recommendations, personalization, and predictive analyticsUsed in reporting, dashboards, and business decision support

Shopify Data Science roles focus on building models and algorithms to predict customer behavior and optimize platform features, requiring advanced technical skills. Shopify Data Analysis positions concentrate on interpreting data to inform business decisions, emphasizing visualization and reporting. Both roles are essential in e-commerce analytics but differ in technical complexity and focus areas.

How do Shopify Data Scientists typically collaborate with product and engineering teams during a project?

Shopify Data Scientists work closely with both product managers and engineers throughout the product development lifecycle. They help define project goals using data-driven insights, design experiments to test features, and analyze results to guide product decisions. Regular meetings, paired work sessions, and shared dashboards are common ways they stay aligned across teams. This collaborative approach ensures that data science solutions are practical, scalable, and directly tied to business objectives.

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, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Looker), SQL databases, and machine learning frameworks is commonly required, along with experience using Shopify’s data tools and APIs. Strong problem-solving abilities, business acumen, and effective communication skills help convey insights and collaborate with cross-functional teams. These skills ensure you can extract meaningful trends from complex datasets, drive data-driven decisions, and add value to Shopify’s business operations.
What job categories do people searching Shopify Data Science jobs look for? The top searched job categories for Shopify Data Science jobs are:
Shopify Data Science jobs near you
Infographic showing various Shopify Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, and 9% Part Time. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 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 11 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.

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