Senior/Staff Data Scientist, EPD

Posted Yesterday
2 Locations
In-Office or Remote
180K-500K Annually
Senior level
Software
Agentic procurement orchestration built for scale
The Role
Founding Data Scientist for Procure-to-Pay working cross-functionally to build models, metrics, simple data pipelines, dashboards, and reports. Analyze complex datasets, produce actionable insights through data storytelling, and partner with leadership to turn business problems into data-driven solutions that impact operations and growth.
Summary Generated by Built In
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 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 & Benefits

At 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!


#BI-Remote

Skills Required

  • 4-8 years professional experience in Data Science, Data Engineering, or Data Analysis, including building simple data pipelines and analyzing complex datasets
  • Bachelor's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
  • Strong command of SQL
  • Strong command of Python
  • Solid foundation in statistical methods and applications
  • Demonstrated skill in data visualization and translating insights into actionable recommendations
  • Exceptional project management capabilities; ability to prioritize and deliver multiple initiatives with attention to detail
  • Excellent communication skills to present findings and influence decisions
  • Adept at cross-functional collaboration to identify analytical challenges and implement solutions
  • Master's degree or above in a relevant field
  • Prior experience at a growth-stage internet or software company
  • Experience with Airflow, Superset, Omni, Sigma, Looker, or Tableau
  • Understanding of development processes and best practices like engineering standards, code reviews, and testing
  • Experience using AI tools to assist analyses and dashboard building

Zip Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zip and has not been reviewed or approved by Zip.

  • Equity Value & Accessibility Feedback suggests equity is broadly offered, increasing access to ownership across roles. This builds perceived long‑term value alongside cash compensation.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is consistently highlighted as part of the package. Wellness resources, stipends, and mental‑health days further strengthen healthcare support.
  • Leave & Time Off Breadth Flexible or unlimited PTO, paid holidays, and sick days are emphasized. Parental leave and additional family‑related leaves expand time‑off options beyond industry basics.

Zip Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
550 Employees
Year Founded: 2020

What We Do

Zip is the world’s leading intake-to-procure solution. Providing a single platform for any employee to initiate a purchase or vendor request, Zip helps businesses gain clear and timely visibility across all purchases, while dramatically improving the employee experience. The platform’s no-code configuration and intelligent workflows integrated across disparate systems enable businesses to automatically route requests for faster approval across finance, legal, procurement, IT, security and other teams. Leading enterprises and high-growth startups like Databricks, Canva, Airtable, Webflow and over 100 others use Zip to streamline their procurement processes while delighting their business users.

Gallery

Gallery

Similar Jobs

Pie Insurance Logo Pie Insurance

Complex Claims Adjuster, Workers Compensation

Fintech • Insurance • Machine Learning • Analytics • Financial Services • Automation
Easy Apply
Remote
United States
350 Employees
95K-120K Annually
Remote
United States
529 Employees
125K-145K Annually

GC AI Logo GC AI

Design Engineer

Artificial Intelligence • Legal Tech
Remote
United States
100 Employees
165K-350K Annually

Toast Logo Toast

Senior Manager, Care Experience Management

Cloud • Fintech • Food • Information Technology • Software • Hospitality
Remote
United States
5000 Employees
151K-242K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
31 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account