Senior Data Scientist - Market Intelligence

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.

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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®.

Pattern is seeking a Senior Data Scientist to join our Market Intelligence team, driving Ecommerce intelligence across our portfolio of brands. In this role, you will develop scalable data science solutions that power our Ecommerce Management organization, with a particular focus on predictive modeling, go‑to‑market strategy, and retail marketplace insights. You will unlock insights from complex, high-volume datasets to inform smarter decision‑making and accelerate performance across Amazon, Walmart, Target, Tik Tok Shop, and other digital marketplaces.

Partnering cross-functionally with Ecommerce, marketing, and retail teams, you will solve high‑impact business challenges by leveraging AI and automation to build data science–driven solutions that optimize growth and support brand objectives. You will translate advanced analytics into clear, actionable strategies—effectively communicating research and results to internal and external stakeholders, influencing decision‑making, and ensuring insights are implemented to drive measurable ROI.

This is a full‑time role and will work a hybrid schedule based in Lehi, UT.

• Develop predictive models to enhance marketplace performance, including pricing, demand forecasting, promotions, and competitor dynamics.
• Apply causal inference methods
  , such as geo‑experiments, DiD, and uplift modeling, to measure the impact of marketing and operational levers.
• Partner with Product, Ecommerce, and Customer Success teams to translate technical models into actionable insights for Go‑to‑Market (GTM) motions.
• Contribute to product roadmaps and collateral to help scale solutions across a portfolio of global brands.
• Deliver analytics solutions specifically tailored to major marketplaces like Amazon, Walmart, Target, and Tik Tok.
• Analyze retail and media signals
  —including inventory, search, and catalog changes—to drive measurable business outcomes.
• Translate complex business problems into structured analytical approaches through close collaboration with cross‑functional stakeholders.
• Provide data storytelling and recommendations that bridge the gap between technical details and executive‑level decision‑making.
• Evolve experimentation frameworks and standardized KPI measurements across the organization.
• Build production‑ready data pipelines and automated workflows within cloud data warehouses like Snowflake.
• Develop scalable modeling environments using Python and SQL, and enable users through dashboards in Tableau or Streamlit.

• 4+ years of experience as a Data Scientist or similar.
• Bachelor’s Degree in Data Science, Statistics, Economics, Analytics, Computer Science, or a related field.
• Proficiency in SQL and Python, including common modeling and statistical libraries.
• Experience with experimentation design, causal inference techniques, and measuring marketing or retail impact.
• Comfort working with large datasets and…