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Data Scientist

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 cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 4 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 Prudential 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 Data Analyst 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 Engineering, Data Analysis, or Data Science, 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 $140,000 - $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

  • 🦷  Full health, vision & dental coverage

  • 🍽️  Catered lunches & dinners for SF employees

  • 🚍  Commuter benefit

  • 🚠  Team building events & happy hours

  • 🌴  Flexible PTO

  • 💻  Apple equipment plus home office budget

  • 💸  401k plan

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!

Average salary estimate

$180000 / YEARLY (est.)
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$140000K
$220000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Zip

Are you ready to make an impact as a Data Scientist at Zip in San Francisco? At Zip, we know that the procurement process can be a labyrinth, and we’re here to simplify it with our cutting-edge platform designed for today’s leading companies. As a Data Scientist, you’ll work closely with talented teams to transform vast amounts of data into understandable insights that drive business growth. With your expertise in SQL and Python, you’ll develop metrics, create intuitive dashboards, and uncover trends that empower decision-making at all levels. We place a strong emphasis on data storytelling, and your unique insights will influence strategy across the organization. Picture yourself collaborating with innovative leaders from some of the best tech companies in the world, pushing boundaries and solving challenges through data. You'll not only be conducting analyses, but also delivering actionable recommendations that steer our business toward success. If you have 4-8 years of experience in Data Engineering, Data Analysis, or Data Science and are passionate about combining technical excellence with strategic thinking, we’d love to hear from you! Join us at Zip, where your analytical skills will have the power to drive significant impact in an exciting, fast-paced environment. We’re not just the solution to procurement; we're a growing team on a mission to innovate and deliver incredible value to our customers. Let's redefine the world of procurement together!

Frequently Asked Questions (FAQs) for Data Scientist Role at Zip
What qualifications do I need to be a Data Scientist at Zip?

To qualify for the Data Scientist position at Zip, you’ll need 4-8 years of professional experience in Data Engineering, Data Analysis, or Data Science. A Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or related fields is essential. Strong skills in SQL and Python are mandatory, along with a solid foundation in statistical methods and data visualization techniques. Exceptional project management capabilities and communication skills are also crucial as you work collaboratively across teams.

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What responsibilities will I have as a Data Scientist at Zip?

As a Data Scientist at Zip, your core responsibilities will include developing metrics, building data pipelines, and creating insightful dashboards and reports. You’ll collaborate with cross-functional teams to analyze complex datasets and provide data-driven solutions for business challenges. Your analyses will directly inform decision-making, and your compelling data storytelling will drive actionable recommendations that impact our operations.

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What is the salary range for the Data Scientist position at Zip?

The salary range for the Data Scientist role at Zip is between $140,000 and $220,000, depending on various job-related factors such as location, experience, education, and specialized skills. At Zip, we believe in rewarding our employees fairly and providing competitive compensation that reflects their contributions.

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What kind of work environment can I expect as a Data Scientist at Zip?

At Zip, you’ll experience an inclusive and innovative work environment that prioritizes collaboration and ownership. We are committed to fostering a diverse workplace where every employee feels valued. Our culture encourages open communication and a mindset geared towards continuous learning and improvement, making it an exciting place for a Data Scientist like you to thrive.

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Are there opportunities for growth as a Data Scientist at Zip?

Absolutely! Zip is dedicated to the professional growth of its employees, and as a Data Scientist, you will have numerous opportunities to expand your skills and expertise. With a focus on innovation and the use of cutting-edge technology, you’ll be well-positioned to advance your career while playing a vital role in the company’s success.

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Common Interview Questions for Data Scientist
Can you describe your experience with data analysis in previous roles as a Data Scientist?

In my previous roles, I utilized my skills in data analysis by employing SQL and Python to manage and analyze complex datasets. I focused on deriving insights that directly supported business objectives, demonstrating not just technical proficiency but also a strategic approach to data interpretation and application.

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What methods do you use to ensure the accuracy of your data analysis?

I implement several methods to ensure accuracy, including cross-referencing data against existing datasets, performing validation checks, and using statistical methods to verify results. I also collaborate with team members to review findings, creating a thorough process that emphasizes precision and reliability.

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How do you often communicate complex data findings to non-technical stakeholders?

I focus on data storytelling by using visual aids like dashboards and infographics to convey insights in an accessible manner. I tailor my communication to the audience’s level of understanding, breaking down complex information into key takeaways that drive decision-making.

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What is your experience with data visualization tools relevant to the Data Scientist position?

I have considerable experience with data visualization tools such as Tableau and Looker. I’ve used these tools to create dynamic dashboards that convey insights in real time, making the analysis not only informative but also engaging for stakeholders.

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Can you provide an example of a data-driven decision you influenced in your past role?

In my last role, I analyzed customer purchase behavior data and identified trends that suggested a change in product offerings. By presenting these insights to the leadership team, we adjusted our inventory strategy, resulting in a significant increase in sales over the next quarter.

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How do you approach troubleshooting data pipeline issues?

I take a systematic approach to troubleshooting by first identifying the point of failure within the pipeline. I use logging tools to pinpoint where the disruption occurs, then review the code and data sources involved. A collaborative environment is key, so I often engage with team members to brainstorm solutions.

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What statistical methods are you most familiar with and how have you applied them?

I’m well-versed in various statistical methods, including regression analysis and hypothesis testing. I’ve applied these techniques in analyzing trends and evaluating the effectiveness of marketing campaigns, enabling data-driven decisions that improved our strategies.

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What strategies do you use to manage multiple data projects simultaneously?

I prioritize my projects based on urgency and business impact. Implementing project management tools helps me keep track of deadlines and deliverables. I also ensure regular check-ins with team members to avoid bottlenecks and maintain clear communication.

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What role does collaboration play in your work as a Data Scientist?

Collaboration is crucial in my work as a Data Scientist. I regularly work alongside cross-functional teams to understand their analytical needs and provide tailored insights. This collaborative approach ensures that we harness diverse perspectives and drive effective solutions.

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How do you stay updated with the latest trends and technologies in data science?

I stay updated by actively engaging with the data science community through webinars, workshops, and online courses. Additionally, I follow industry leaders on platforms like LinkedIn and participate in relevant forums to share knowledge and learn from peers.

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Zip is a leading global financial services company, offering innovative, people-centred products that bring customers and merchants together. On a mission to be the first payment choice everywhere and every day, Zip offers point-of-sale credit and...

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DATE POSTED
April 22, 2025

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