Read by 366 job seekers.

Mexico City, Mexico

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

What would make me a great candidate?You enjoy bridging the fields of data science and software development. You’re excited about building models and writing production-ready software. You understand machine learning and know how to apply it. You’re intellectually curious and prepared to learn from your peers, just as you are comfortable educating your colleagues in software development and testing standards.

What will I do?

This role is for someone with 1-2 years of experience in a similar role.

Develop, test, and maintain data science applications in Python.

Extract data from platforms using SQL.

Support and enhance existing data fusion products

Partner with our Software Engineering department to build best-of-class cloud-based analytical solutions.

Provide technical support to end users.

Address critical bugs/issues in a timely manner.

Is this for me?

Degree in statistics, data science, computer science, business analytics.

Expertise in analytics programming languages, such as Python (with Pandas) and R.

Basic experience in SQL or PySpark.

Familiarity with cloud computing (AWS preferred)

Experience with ML flow and distributed processing

Well-organized and capable of handling multiple projects simultaneously while meeting deadlines.

Excellent English and Spanish oral and written communication skills.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $45,000 - $50,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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