
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.
🔥 27 minutes ago
🇺🇸 United States – Remote
💵 $162k - $203k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Zip Co's careers page, not through a job board
First seen by Remote Rocketship 27 minutes ago
Still open on Zip Co's site. Checked 4 minutes ago.

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.
• Develop advanced modeling solutions for Zip’s next generation of financial products using rich data sources such as bank transaction data • Develop and experiment with traditional machine learning, algorithmic, and AI-centric modeling approaches • Independently design, build, evaluate, and iterate on AI/ML models • Rapidly experiment and build realistic proofs of concept • Assist with test designs producing data for future model versions • Balance short-term business outcomes with longer-term experimental opportunities • Use AI to improve model quality, analytical efficiency, or product outcomes • Build models mitigating risk while driving profitable growth • Collaborate with Data and Machine Learning Engineering teams on data availability and model scalability • Own modeling solutions end-to-end, from development through production monitoring • Communicate findings, recommendations, and tradeoffs to business stakeholders
• Advanced degree in a quantitative field (e.g., Mathematics, Physics, Social Science, Computer Science); PhD preferred • 5+ years of experience in Data Science, which 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; ability to work independently • Solid grasp 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, and 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 • Visa sponsorship is not available for this position
• 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 • Potential bonus and/or commission awards • Medical, financial, and other benefits
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