[Hiring] Senior Data Scientist II @Zip Co Limited

Role Description

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.

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. This work will encompass traditional ML, algorithmic solutions, and AI-centric techniques that drive real business impact.

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.

Qualifications

• 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.

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, with several 100% Zip-covered choices available.