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RevOps Data Scientist

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: Pattern
Full Time position
Listed on 2025-10-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, , , eBay, Tmall, Tik Tok Shop, JD, and Mercado Libre.

To learn more, visit  or email

Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

We need a Rev Ops Data Scientist to help Pattern improve and scale their data operations. This role will play a crucial role aiding the both the data science and revenue operations teams, giving them visibility into key business units and stakeholders. This is a full-time role and will work a hybrid schedule based in Lehi, UT.

What is a day in the life of a Data Scientist?
  • Building upon and improving existing analytical frameworks.
  • Refining operational processes to increase both accuracy and reliability.
  • Scaling machine learning models to support business growth and new demands.
  • Leveraging global market data and trends to train and evolve models.
  • Simplifying workflows and optimizing systems for maximum efficiency.
What will I need to thrive in this role?
  • Bachelor’s Degree.
  • 2-3 years of experience as a Data Scientist, Data Analyst, or a Data Engineer.
  • Excellent communication skills with the ability to work cross-functionally across marketing, rev ops, data science, and sales engineering teams.
  • Strength in data architecture and efficiency, backed by a strong engineering background.
  • Deep experience with AWS (EC2, ECS) and relevant AWS certifications.
  • Proficiency in Python and SQL, with the capability to collaborate closely with software and sales engineering teams (“the kitchen”).
  • Demonstrated aptitude and proficiency in AI, with a track record of expanding AI capabilities.
  • Experience expanding existing frameworks.
  • Ability to enhance accuracy and precision in operational processes.
  • Proven track record of scaling models to accommodate growth and increased demand.
  • Experience training systems with global patterns and market share data.
  • Expertise in streamlining processes to achieve greater efficiency.
What does high performance look like?
  • You follow through with all assignments in a timely manner with minimal supervision.
  • You give 100% to all tasks and projects you are given.
  • You actively comment and participate in group collaborations.
  • You take full ownership of your projects and follow through to completion.
  • You facilitate team education through training and cross-functional transparency.
What is my potential for career growth?
  • Career growth opportunities are available for Rev Ops Data Scientists, with leadership roles potentially on the horizon based on tenure and performance.
What is the team like?
  • You will be supervised by Nate Winn, Rev Ops Data Science Manager. This team is data driven and results oriented. You will collaborate regularly with members of your team to implement actionable solutions. Ideas and input are encouraged from all members.
Sounds great! What’s the company culture?
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
  • Data…
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