About Zip

Here at Zip, we're reimagining how modern businesses function in the age of AI. The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses.

Our co-founders started Zip in 2020 to address this seemingly universal problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 5 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world’s leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and JPMorgan Chase rely on Zip to manage billions of dollars in spend.

We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we’re focused on developing cutting-edge technology, expanding into new global markets, and—above all–driving incredible value for our customers. Join us!

Your Role

As a founding Data Scientist 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