Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the analytical strategy for Zip’s new product ventures, acting as the senior analytics partner from initial exploration to full-scale adoption.

• Develop insights, measurement frameworks, and analytical foundations that inform product strategy, investment choices, risk trade-offs, and long-term growth.

• Define, design, construct, implement, and scale innovative ML/AI solutions.

• Create first-generation models utilizing valuable new data sources.

• Mentor and collaborate with junior data scientists.

• Independently conduct experiments and iterate using a test-and-learn methodology.

• Balance immediate business gains with longer-term experimental projects.

• Manage solutions from start to finish and engage with business stakeholders effectively.

• Work in partnership with engineering teams to deploy solutions into production.

• Design and develop AI/ML models that utilize bank transaction data.

• Investigate open-ended challenges in bank transaction data and other data sources.

• Rapidly create, build, and iterate on proofs of concept.

• Set up evaluation frameworks and decision criteria for scaling, modifying, or halting initiatives.

• Provide technical guidance to data scientists on complex workstreams.

• Assist in designing tests that yield data for future iterations of models.

• Utilize AI throughout the stack, including custom neural network and LLM solutions.

• Develop models that mitigate risk while promoting profitable growth.

• Ensure that solutions are scalable and stable in collaboration with engineering partners.

• Act as the primary technical owner and contact for domain models, advising senior stakeholders on trade-offs and implications.

⛳️ Requirements

• Advanced degree (PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Social Science, Computer Science).

• Over 7 years of experience in Data Science (PhD work can be included).

• At least 4 years of experience in Data Science within Financial Services.

• Self-motivated with strong problem-solving and research abilities; capable of working independently to develop solutions.

• Strong understanding of the basics of probability, statistics, and applied research methods.

• Experience handling cashflow data (e.g., Plaid, MX, Finicity).

• Proficient in Python and SQL; hands-on experience with Spark/PySpark is a plus.

• Experience with Neural Networks, LLMs, and GenAI.

• Familiarity with credit and/or fraud risk is advantageous.

• Proven ability to manage large-scale projects from inception to completion.

• Ability to excel in a fast-paced, multi-tasking environment.

• Visa sponsorship is not available for this position.

🏝️ Benefits

• 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, featuring various 100% Zip-covered options.

• Bonus and/or commission awards may be included in total compensation.