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# Data Scientist (Machine Learning)

- **Company:** NELO, INCORPORATED
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), SQL Databases, Jupyter Notebook, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/data-scientist-machine-learning-nelo-mx-8288368

## About the Role

* You have deep theoretical roots. We are explicitly looking for candidates with a strong academic background (PhD preferred) who understand the first principles of classification, forecasting, and optimization.
 * You are a builder, not just a researcher. While you love the theory, you have at least 5 years of experience applying it in a production environment. You write production-grade Python and SQL.
 * You value velocity. You understand that a perfect model shipped next year is worth less than a great model shipped next week. You can balance intellectual rigor with the need to execute.
 * You are happy in NYC. This is an in-office role. We believe the hardest problems are solved when smart people are in the same room with a whiteboard.

## Description

* Solve the "Why," not just the "What": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies. Correlation isn't enough when you're managing risk.
 * Build the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking. Your code will directly impact the wallet of the consumer and the margin of the company.
 * Own the Infrastructure: You won't just hand off a Jupyter notebook to an engineer. You will lead ML infrastructure projects, ensuring observability and operational excellence for the models you build., 1. Quick chat with the Hiring Manager to align on expectations.
 2. A business case/technical assessment (relevant to the actual job).
 3. Onsite interview in NYC to meet the team.
 4. Offer.


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