Senior Data Scientist II

• 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)
• 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 Data Scientist, you will leverage your creative and critical thinking skills to develop best-in-class models that have a meaningful impact across Zip. These models support a variety of domains, with an emphasis on credit and fraud risk but also customer experience, marketing, and more.

Your work will focus on pushing the next frontier of capabilities at Zip, leveraging new rich data sources. This is a green field opportunity to experiment and build for the future of the company, leveraging both traditional ML and new AI-based methodologies to build customer-facing and backend functionalities.  This is an opportunity to build high-impact and high-visibility models. 

Interesting problems you’ll get to solve

• Build new AI/ML models leveraging bank transaction data to enable customer experiences and to support core business objectives
• Rapidly experiment, build, and iterate on solutions, providing realistic proofs of concept that can be tested and refined. Solutions include, but are not limited to, customer-focused financial insights, portfolio forecasting, risk and underwriting, marketing, and recommender systems
• Provide guidance on test design and data collection to maximize the future success of your models
• Employ the latest GenAI techniques where appropriate to maximize performance and build for the future 
• Work closely with the Data and Machine Learning Engineering teams for production considerations to ensure data availability and model scalability
• Clearly communicate modeling objectives, assumptions, limitations, and performance considerations to stakeholders across the business
• Explore and validate data sources, including ad hoc profiling and integrity checks, to support modeling efforts
• Ensure that work is reproducible with clear, maintainable code
• Work cross-functionally to gather insights and requirements from multiple stakeholders including Product, Risk, and Engineering

 

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
• 20 days PTO every year
• Generous paid parental leave
• Leading family support policies
• 100% employer covered insurance
• Beautiful Union Square office with a casual dress code
• Learning and wellness subscription stipend
• Company-sponsored 401k match

 

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 $132,000 -160,000. This range reflects our US national compensation (USN). Additional premium percen