Z

Zip

Interest-free BNPL payments provider internationally

Staff Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • An advanced degree in a quantitative field such as Mathematics, Physics, Social Science, or Computer Science; a PhD is preferred.
  • At least 7 years of Data Science experience, which may include PhD work.
  • At least 4 years of Data Science experience in Financial Services.
  • Strong problem-solving and research skills, and the ability to work independently to drive solutions.
  • A solid grasp of probability, statistics, and applied research methods.
  • Experience working with cashflow data such as Plaid, MX, or Finicity.
  • Proficiency in Python and SQL.
  • Experience with Neural Networks, LLMs, and GenAI.
  • A proven track record managing large-scale projects end-to-end.
  • Ability to thrive in a fast-paced, multi-tasking environment.

Responsibilities

  • Own the analytical strategy for a new product initiative, serving as the senior analytics partner from early-stage exploration through scaled adoption.
  • Establish insights, measurement frameworks, and analytical foundations to guide product strategy, investment decisions, risk trade-offs, and sustainable growth.
  • Define, architect, build, implement, and scale new ML/AI solutions using rich data sources.
  • Design and build AI/ML models leveraging bank transaction data to enable new product capabilities.
  • Explore open-ended problems within bank transaction data and other sources to enable new product capabilities.
  • Rapidly experiment, build, and iterate on solutions, producing proofs of concept that can be tested and refined.
  • Establish evaluation frameworks and decision criteria for what should scale, change, or stop.
  • Provide technical direction to data scientists on complex workstreams, delegating defined components while retaining accountability for technical quality and outcomes.
  • Assist with test designs that produce the data needed to build future model versions.
  • Balance short-term wins with longer-term experimental work to drive business value.
  • Leverage AI across the stack, from productivity improvements to custom neural network and LLM solutions.
  • Build models that mitigate risk while driving profitable growth.
  • Work with engineering teams to ensure solutions are scalable and stable.
  • Act as the primary technical owner and point of contact for the model family in the business domain, advising senior stakeholders on model trade-offs and implications.
  • Own work end-to-end, communicate with business stakeholders, and collaborate with engineering teams to productionize solutions.
  • Experiment and iterate independently using a test-and-learn approach, balancing tangible short-term gains with longer-term work.

Desired Qualifications

  • Hands-on experience with Spark/PySpark.
  • Experience with credit risk and/or fraud risk.

About the Company

Zip

Interest-free BNPL payments provider internationally

Zip Co provides buy now, pay later (BNPL) services that let people buy things now and pay over time without interest. It operates in markets including Australia, New Zealand, the United Kingdom, the United States, Canada, and Mexico, serving both individual consumers and businesses. Its main products are Zip Pay (for everyday purchases) and Zip Money (for larger expenses). Revenue comes from merchant fees, late fees, and interest on certain products. Zip partners with retailers to offer convenient, transparent payment options that help customers manage their finances, with a focus on simple terms and clear due dates. The company aims to expand globally and grow its market presence by providing flexible, easy-to-use payment solutions that simplify the purchasing process.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
2013

Recently Posted Jobs

Explore more opportunities at Zip

See more jobs