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Staff Data Scientist

Pay
$192,000–240,000/year · Base — pay source
Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations. The annual base Pay Range for this position is $192,000 - $240,000. This range reflects our US national compensation band (USN). Additional premium percentages may apply based on our tiered premium strategy. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work*Please note that visa sponsorship is not available for this position

What you’ll work on

Full posting
  • Design and build AI/ML models using bank transaction data

  • Run fast experiments and proofs of concept, then iterate on them

  • Set evaluation frameworks for what to scale, change, or stop

  • Give technical direction to other data scientists on complex work

  • Work with engineering to keep solutions scalable and stable

From the employer’s posting
Design and build new AI/ML models leveraging bank transaction data to enable new product capabilities
Rapidly experiment, build, and iterate on solutions, providing realistic proofs of concept that can be tested and refined
Establish clear evaluation frameworks and decision criteria for what should scale, change, or stop.
Provide technical direction to other data scientists on complex workstreams
Work closely with partnering engineering teams to make sure solutions are scalable and stable

What you’ll bring

All qualifications

Core experience

  • 7+ years of experience in Data Science
  • 4+ years of experience in Data Science in Financial Services
  • Advanced degree in a quantitative field
  • Proficiency in Python and SQL
  • Experience working with cashflow data (e.g., Plaid, MX, Finicity)
Qualification wording
7+ years of experience in Data Science (can include PhD work)
4+ years of experience in Data Science in Financial Services
Advanced degree (PhD preferred) in a quantitative field (e.g., Mathematics, Physics, Social Science, Computer Science)
Proficiency in Python and SQL
Experience working with cashflow data (e.g., Plaid, MX, Finicity)
Education & alternatives
What you’ll bring to the team - Advanced degree (PhD preferred) in a quantitative field (e.g., Mathematics, Physics, Social Science, Computer Science) - 7+ years of experience in Data Science (can include PhD work)
- Advanced degree (PhD preferred) in a quantitative field (e.g., Mathematics, Physics, Social Science, Computer Science) - 7+ years of experience in Data Science (can include PhD work) - 4+ years of experience in Data Science in Financial Services
Apply at Zip

Posting record

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Status in our records
Live
First seen by us
Oct 10, 202624 days ago
Recorded sightings
24
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$192K–$240K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 24

Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Zip is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Spark
  • PySpark
Where the posting names them
- Experience working with cashflow data (e.g., Plaid, MX, Finicity) - Proficiency in Python and SQL; hands-on experience with Spark/PySpark a plus - Experience with Neural Networks, LLMs, GenAI

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

  • Own the analytical strategy for Zip’s new product's initiative, serving as the senior analytics partner supporting the development and growth of new financial products from early-stage exploration through scaled adoption.
  • Bring deep product and financial analytics expertise to ambiguous, 0-to-1 problems, establishing the insights, measurement frameworks and analytical foundations needed to guide product strategy, investment decisions, risk trade-offs and sustainable growth.
  • Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office 

Start your adventure with Zip 

As a Staff Data Scientist, you will leverage your expertise in Data Science to define, architect, build, implement and scale, new ML/AI solutions that push the next frontier of capabilities at Zip. You will be building the first generation of models that leverage rich new data sources and provide the foundation for the next generation of Zip. You will use your extensive experience, mentoring and partnering with more junior data scientists to build best-in-class ML and AI solutions. As a green field opportunity, you will be expected to independently experiment and iterate on solutions and take a test-and-learn approach to your work. You will balance short-term tangible business gains with more long-term ambitious work that together maximize the value for the business. Whatever you build, you will be expected to own end-to-end, and be responsible for communicating with business stakeholders and collaborating with engineering teams on making them work in a production environment.  In addition to your extensive experience in Data Science and Financial Services, you are self-driven, intellectually curious, and comfortable iterating on simple solutions that are informed by experimental results. 

Interesting problems you’ll get to solve

  • Design and build new AI/ML models leveraging bank transaction data to enable new product capabilities
  • Explore open-ended problems within bank transaction data as well as other sources to enable new product capabilities
  • Rapidly experiment, build, and iterate on solutions, providing realistic proofs of concept that can be tested and refined
  • Establish clear evaluation frameworks and decision criteria for what should scale, change, or stop. 
  • Provide technical direction to other data scientists on complex workstreams, delegating defined components where appropriate while retaining accountability for technical quality and outcomes 
  • Assist with test designs that produce the data necessary to build future versions of your models
  • Balance short-term wins with longer-term experimental work that drive overall value of the business
  • Leverage AI across your entire stack, from boosting productivity to building custom neural network/LLM solutions
  • Build models that mitigate risk while driving profitable growth for the business
  • Work closely with partnering engineering teams to make sure solutions are scalable and stable
  • Act as a primary technical owner and point of contact for the family of models in this business domain, advising senior stakeholders on model trade-offs and implications 

What you’ll bring to the team 

  • Advanced degree (PhD preferred) in a quantitative field (e.g., Mathematics, Physics, Social Science, Computer Science)
  • 7+ years of experience in Data Science (can include PhD work)
  • 4+ years of experience in Data Science in Financial Services
  • Self-starter mentality with strong problem-solving and research skills; able to work independently to drive solutions
  • Solid grasp of the fundamentals of probability, statistics, and applied research methods
  • Experience working with cashflow data (e.g., Plaid, MX, Finicity) 
  • Proficiency in Python and SQL; hands-on experience with Spark/PySpark a plus 
  • Experience with Neural Networks, LLMs, GenAI 
  • Experience with credit and/or fraud risk a plus
  • Proven track record managing large-scale projects end-to-end
  • Ability to thrive in a fast-paced, multi-tasking environment

What you’ll get in return

Zip is a place where you’ll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you’ll feel empowered and trusted to make big things happen quickly. 

We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it’s important to us that you make the most of the opportunities you’ll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back.

We think these are just some of the best things about being a Zipster. We will also offer you:

  • Flexible working culture
  • Incentive programs
  • Unlimited PTO
  • Generous paid parental leave
  • Leading family support policies
  • Company-sponsored 401k match
  • Learning and wellness subscription stipend
  • Beautiful Union Square office with a casual dress code
  • Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available

Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations.

The annual base Pay Range for this position is $192,000 - $240,000. This range reflects our US national compensation band (USN). Additional premium percentages may apply based on our tiered premium strategy.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits. 

*Please note that visa sponsorship is not available for this position.

If hired, employees will be in an 'at-will position' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Be a part of a team that reflects the diversity of our customers.

We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique.

Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience.

 

And finally…get to know us

 

Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centered products.

Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.

I acknowledge by clicking "Submit Application", that the information provided is true and correct. I also understand that any willful dishonesty may render for refusal of this application or immediate termination of employment. By providing your information, you acknowledge that you have read our Zip Applicant and Candidate Privacy Notice and authorize Zip to process your data subject to those terms. Zip participates in the federal government’s E-Verify program. #LI-Remote

Source details

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Pay
Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations. The annual base Pay Range for this position is $192,000 - $240,000. This range reflects our US national compensation band (USN). Additional premium percentages may apply based on our tiered premium strategy. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits.
Location & working pattern

United States

- Bring deep product and financial analytics expertise to ambiguous, 0-to-1 problems, establishing the insights, measurement frameworks and analytical foundations needed to guide product strategy, investment decisions, risk trade-offs and sustainable growth. - Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office Start your adventure with Zip
More source context
Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do. I acknowledge by clicking "Submit Application", that the information provided is true and correct. I also understand that any willful dishonesty may render for refusal of this application or immediate termination of employment. By providing your information, you acknowledge that you have read our Zip Applicant and Candidate Privacy Notice and authorize Zip to process your data subject to those terms. Zip participates in the federal government’s E-Verify program. #LI-Remote
Work authorization
Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits. *Please note that visa sponsorship is not available for this position. If hired, employees will be in an 'at-will position' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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