Zip
Engineering
Senior/StaffDataScientist,EPD
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior/Staff Data Scientist, EPD at Zip. Skills: Data science, Data engineering, Data analysis, Machine learning. Develop metrics. Build data pipelines”
Industry & Context.
Data-driven solutions; Analytical challenges
What They're Looking For.
Must Have
4-8 years professional experience, Bachelor's degree, SQL proficiency, Python proficiency, Statistical methods foundation, Data visualization skill, Actionable recommendations skill, Project management capabilities, Attention to detail, Cross-functional collaboration
Nice to Have
Master's degree, Growth stage company experience, Airflow experience, Superset experience, Omni experience, Sigma experience, Looker experience, Tableau experience, Understanding development processes, Experience with AI tools
What You'll Do.
Develop metrics, Build data pipelines, Create dashboards, Generate reports, Deliver recommendations
How You'll Work.
Team & Collaboration
Cross-functional teams; Leadership collaboration
Communication Scope
Data storytelling; Present findings; Influence decisions
Process & Methodology
Project management, Prioritize initiatives
Full Job Description
ABOUT ZIP Zip is the AI platform for enterprise procurement — built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world’s most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they’ve saved over $8 billion and processed over $500 billion in spend. Zip’s team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. YOUR ROLE As a founding Data Scientist for Procure-to-Pay (P2P) at Zip, you'll collaborate extensively with cross-functional teams to provide the models, data products, and insights necessary for informed decision-making and sustainable growth. You'll leverage our comprehensive data resources to extract valuable insights, while working alongside leadership to transform business challenges into data-driven solutions. Your responsibilities will include developing metrics, building simple data pipelines, creating intuitive dashboards, and generating reports that drive business operations. Through thoughtful analysis and compelling data storytelling, you'll deliver actionable recommendations that directly impact business outcomes. QUALIFICATIONS - 4-8 years of professional experience in roles such as Data Science, Data Engineering, Data Analysis, with a track record of building simple data pipelines and analyzing complex datasets to address business challenges. - Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical fi
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