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 field.
Strong command of SQL and Python programming languages
Solid foundation in statistical methods and applications.
Demonstrated skill in data visualization and translating insights into actionable recommendations that drive goal achievement.
Exceptional project management capabilities with the ability to prioritize and deliver multiple initiatives while maintaining meticulous attention to detail.
Excellent communication skills to effectively present findings and influence decisions.
Adept at cross-functional collaboration to identify analytical challenges and implement solutions that combine technical excellence with data-driven insights.
Nice To Haves
Master’s (or above) degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
Prior experience at a growth stage internet or software company.
Experience with Airflow, Superset, Omni, Sigma, Looker, or Tableau.
Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
Experience with using AI tools to help with analyses and building dashboards.
The salary range for this role is $180,000 - $220,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
Perks & BenefitsAt Zip, we’re committed to providing our employees with everything they need to do their best work.
📈 Start-up equity
🦷 100% health, vision & dental coverage options
🍽️ Catered breakfast, lunch, & dinner
🌴 Flexible PTO
🏋️♀️ ClassPass membership
🚍 Monthly commuter benefit
🚠 Team building events & happy hours
💻 Home office stipend
🛜 Phone/internet reimbursement
🏠 Hybrid model + 5 flexible remote days per quarter
🍼 Paid parental leave
🐣 Fertility benefits
🧑🧑🧒🧒 Employee Assistance Program (EAP)
🤖 Unlimited AI token usage
We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!