Senior Data Scientist - Market Intelligence at pattern

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, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [Upgrade to PRO to see contact]. 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, TikTok 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. What is a day in the life of a Data Scientist? • 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 TikTok. • 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. What will I need to thrive in this role? • 4+ years of experience as a Data Scientist or similar • Bachelor’s Degree in 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 distributed computing frameworks (Spark, Databricks, etc. What does high performance look like? • End-to-End Ownership: You take full responsibility for projects from data sourcing and engineering to final modeling and stakeholder delivery without needing a dedicated data engineer. • Actionable Insights: You don’t just provide data; you provide "Data Fanatic" solutions that directly influence go-to-market strategies and improve marketplace performance for brands. • Technical Versatility: You navigate "big messy datasets" in Snowflake and AWS S3 with ease, optimizing production code and fixing pipeline inefficiencies autonomously. • Reliable Execution: You follow through with all assignments in a timely manner and give 100% to ensure results are measurable and drive ROI. • Partner Obsession: You effectively bridge the gap between complex technical details and executive-level decision-making, ensuring internal Ecommerce teams have the tools they need to win. What is my potential for career growth? • Expand Technical Leadership: Move into Lead or Principal roles as you evolve our experimentation frameworks and standardized KPI measurements across the organization. • Broaden Domain Expertise: Gain deep exposure to the "Marketplace Retail Economics" of global giants like Amazon, Walmart, and TikTok Shop, making you a rare expert in the CPG and Ecommerce space. • Influence Product Strategy: Contribute directly to product roadmaps and the scaling of internal modeling environments (like Streamlit, Snowflake and Metaflow), transitioning from an individual contributor to a strategic architect. • Networking: Work alongside a sophisticated data team of 23+ specialists, offering opportunities for cross-functional learning in NLP, Operations/Warehouse optimization, and Forecasting. What does success look like in the first 30, 60, 90 days? • 30 Days: Master Pattern’s technical stack (Snowflake, Outerbounds, Python etc.) and establish foundational relationships with key stakeholders to understand core data schemas. • 60 Days: Collaborate with stakeholders to prioritize high-leverage initiatives while actively optimizing existing production code, fixing pipeline inefficiencies, and refining model performance. • 90 Days: Assume full end-to-end ownership of a machine learning project and serve as the primary strategic data science partner for stakeholders. What is the team like? • You will work with two other Data Scientists (one in Utah, one in India) and be supervised by the Data Science Lead. You will be part of a larger HQ data organization and will be mentored by the VP of Data (or designated Executive), meeting with them on a regular basis to discuss your performance. 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 Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data. • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern. • Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners. What is the hiring process? • Initial phone interview with Pattern’s talent acquisition team • Video interview with a hiring manager • Onsite technical interview and business case study interview with a peer • Final interview with an executive • Professional reference checks • Offer How can I stand out as an applicant? • Discuss professional accomplishments with specific data to quantify examples. • Provide insights on how you can add value and be the best addition to the team. • Focus on mentioning how you would be partner obsessed at Pattern. • Share experience on any side projects related to data and analytics. Why should I work at Pattern? Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include: - Unlimited PTO - Paid Holidays - Onsite Fitness Center - Company Paid Life Insurance - Casual Dress Code - Competitive Pay - Health, Vision, and Dental Insurance - 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.  Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.