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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Apprentice Data Scientist Machine Learning information
What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?
| Aspect | Apprentice Data Scientist Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Basic degree, entry-level certifications | Advanced degree (Master's or PhD), specialized certifications |
| Work Environment | Internships, training programs, entry-level projects | Full-time roles in various industries, independent project work |
| Employer & Industry Usage | Startups, tech companies, research labs | Corporate, finance, healthcare, tech firms |
| Search & Comparison Intent | Learning path, entry-level roles, training | Career advancement, expertise, senior roles |
In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.
What are the most commonly searched types of Data Scientist Machine Learning jobs in New York?
The most popular types of Data Scientist Machine Learning jobs in New York are:
What cities in New York are hiring for Apprentice Data Scientist Machine Learning jobs?
Cities in New York with the most Apprentice Data Scientist Machine Learning job openings:
Full-time
Re-posted 12 days ago
Job description
Job Summary:
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.
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.