Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves ...
Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves ...
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Intern Data Scientist Machine Learning information
What does an intern data scientist machine learning do?
What types of projects and responsibilities can an intern data scientist machine learning expect to work on?
What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?
What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?
| Aspect | Intern Data Scientist Machine Learning | Intern Data Analyst |
|---|---|---|
| Required Skills | Basic programming, statistics, machine learning concepts | Data analysis, Excel, SQL, visualization tools |
| Work Environment | Research-focused, model development, algorithm testing | Data cleaning, reporting, dashboard creation |
| Common Industry Usage | Tech, finance, healthcare | Retail, marketing, finance |
Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.
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Full-time
This job post has expired 3 days ago. Applications are no longer accepted.
Job description
Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves designing causal inference models, creating algorithms for credit pricing, and leading ML infrastructure projects.
Responsibilities:
• Solve the "Why," not just the "What": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies.
• Build the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking.
• 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.
Qualifications:
Required:
• Strong academic background (PhD preferred)
• Deep theoretical roots in classification, forecasting, and optimization
• At least 5 years of experience applying theoretical knowledge in a production environment
• Proficient in writing production-grade Python
• Proficient in SQL
• Ability to balance intellectual rigor with the need to execute
• Willingness to work in-office in NYC
Company:
Nelo increases the buying power for consumers in LatAm. Backed by Two Sigma Ventures, Homebrew, Susa Ventures, and more. Founded in 2019, the company is headquartered in Mexico City, MEX, with a team of 11-50 employees. The company is currently Early Stage.