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Data Scientist

Nu Holdings Ltd. - Mexico, Mexico City

Posted Nov 27, 2025

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Data Scientist Mexico, Mexico City About Us Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world's largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. About the role We are seeking an enthusiastic and driven Data Scientist to join our Credit Strategy team. This role focuses on applying innovative machine learning methodologies to our risk model and developing causal machine learning approaches for the initial line assignment workflow. You will be responsible for - Translate business challenges into specific and well-designed machine learning solutions that meet business requirements; - Integrate and leverage external data sources to feed our models; - Ensure the team maintains a high level of technical excellence; - Contribute to a technical culture in the local team. - Bring expertise to the team to help design projects across the many areas involved in building machine learning products (training, deployment, data consistency, monitoring, governance, etc.) We are looking for a person who has - Strong coding skills Python/Scala or equivalent languages; - Experimental design skills; - Ability to interact and communicate effectively with business and engineering; - Good understanding of model development and deployment pipeline; - Experience with machine learning tools and libraries such as Scikit-learn, Mllib and etc; - Nice data handling skills, Spark Dataframes, or SQL proficiency is a plus; - English language proficiency. Local Benefits - Chance of earning equity at Nubank

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