Staff Data Scientist

Job not on LinkedIn

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $192k - $240k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Zip Co

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🛍️ eCommerce

💸 Finance

Fintech • eCommerce • Finance

Zip Co is a global ‘Buy Now, Pay Later’ company that provides simpler and fairer payment solutions for millions of customers. With a mission to be the first payment choice everywhere and every day, Zip offers transparent, flexible, and interest-free credit to consumers and businesses. The company partners with major brands like Amazon, Best Buy, eBay, and Uber, focusing on people-centred innovation and financial empowerment.

📋 Description

• Own the analytical strategy for Zip’s new product initiatives, serving as the senior analytics partner from early-stage exploration through scaled adoption • Establish insights, measurement frameworks, and analytical foundations guiding product strategy, investment decisions, risk trade-offs, and sustainable growth • Define, architect, build, implement, and scale new ML/AI solutions • Build first-generation models leveraging rich new data sources • Mentor and partner with junior data scientists • Independently experiment and iterate using a test-and-learn approach • Balance short-term business gains with longer-term experimental work • Own solutions end-to-end and communicate with business stakeholders • Collaborate with engineering teams to deploy solutions in production • Design and build AI/ML models leveraging bank transaction data • Explore open-ended problems in bank transaction data and other sources • Rapidly experiment, build, and iterate on proofs of concept • Establish evaluation frameworks and decision criteria for scaling, changing, or stopping initiatives • Provide technical direction to data scientists on complex workstreams • Assist with test designs producing data for future model versions • Leverage AI across the stack, including custom neural network and LLM solutions • Build models mitigating risk while driving profitable growth • Ensure solutions are scalable and stable with engineering partners • Serve as primary technical owner and point of contact for domain models, advising senior stakeholders on trade-offs and implications

🎯 Requirements

• Advanced degree (PhD preferred) in a quantitative field (e.g., Mathematics, Physics, Social Science, Computer Science) • 7+ years of experience in Data Science (can include PhD work) • 4+ years of experience in Data Science in 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) • 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 • Proven track record managing large-scale projects end-to-end • Ability to thrive 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, with several 100% Zip-covered choices available • Bonus and/or commission awards may be included in total compensation

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