- Own the development of advanced modeling solutions that enable Zip’s next generation of financial products, leveraging rich data sources such as bank transaction data to unlock new product capabilities while strengthening the core business.
- Bring deep data science, applied research, and financial services expertise to develop and experiment with innovative modeling approaches—including traditional machine learning, algorithmic solutions, and AI-centric techniques—that balance risk, profitable growth, and long-term product opportunity.
- 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 Senior Data Scientist II, you will leverage your creative and critical thinking skills to develop best-in-class models that push the product and analytical capabilities at Zip. Leveraging new rich data sources, you will build the first generation of models enabling new product capabilities. Along the way, you will also build foundational models that enhance the core business. This work will encompass traditional ML, algorithmic solutions, and AI-centric techniques that drive real business impact. 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
- Independently design, build, evaluate, and iterate on 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
- Assist with test designs that produce the data necessary to build future versions of your models
- Balance short-term business outcomes with longer-term experimental opportunities that drive overall value of the business
- Leverage AI as a tool to increase productivity where they improve model quality, analytical efficiency, or product outcome
- Build models that mitigate risk while driving profitable growth for the business
- Work closely with the Data and Machine Learning Engineering teams for production considerations to ensure data availability and model scalability
- Own assigned modeling solutions end-to-end, from model development through production monitoring
- Communicate findings, recommendations, and tradeoffs with business stakeholders
What you’ll bring to the team
- Advanced degree (PhD preferred) in a quantitative field (e.g., Mathematics, Physics, Social Science, Computer Science)
- 5+ years of experience in Data Science (can include PhD work)
- 2+ years of experience working with data relevant to 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) highly preferred
- 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
- Familiarity with version control systems such as Git
- 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 $162,000 - $203,000. 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
Skills Required
- Advanced degree in a quantitative field such as mathematics, physics, social science, or computer science
- PhD in a quantitative field
- 5+ years of experience in data science, including PhD work where applicable
- 2+ years of experience working with data relevant to financial services
- Strong problem-solving, research, and independent-working skills
- Knowledge of probability, statistics, and applied research methods
- Experience working with cashflow data, such as Plaid, MX, or Finicity
- Proficiency in Python and SQL
- Hands-on experience with Spark or PySpark
- Experience with neural networks, LLMs, and generative AI
- Experience with credit or fraud risk
- Familiarity with version control systems such as Git
- Ability to thrive in a fast-paced, multitasking environment
Zip Co Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zip Co and has not been reviewed or approved by Zip Co.
-
Affordable Benefits — Healthcare plans are described as low or no‑cost, reducing out‑of‑pocket expense for employees and dependents. Feedback suggests this affordability is a standout element of the package.
-
Leave & Time Off Breadth — Unlimited PTO, birthday leave, paid sick days, paid holidays, and “work from anywhere” flexibility provide wide‑ranging time‑off options. Feedback suggests quarterly mental‑health days further expand time away to recharge.
-
Parental & Family Support — Paid parental leave for primary and supporting carers, plus miscarriage bereavement and domestic‑abuse leave, indicate robust family support. Flexible return‑to‑work options and fertility benefits further strengthen this area.
Zip Co Insights
What We Do
Zip (ASX:Z1P) is a leading global Buy Now, Pay Later (BNPL) company providing fair and seamless solutions that simplify how people pay. Founded in Australia in 2013 and now with a presence in 13 international markets, our mission is to be the first payment choice, everywhere and every day. We give consumers, merchants and businesses around the world access to transparent, flexible and interest-free credit. We exist to create a world where people can live fearlessly today, knowing they’re in control of tomorrow. Disrupting the broken credit card model, we put the financial well-being of our customers and merchants at the centre of everything that we do. Driven by people-centred product innovation, we are the next generation of payments, helping consumers and businesses to take control of their financial future. Over 55,000 retailers around the world offer Zip as a payment choice to our 8 million and growing active customers globally. We are Zip, and we’re only just getting started.







