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Data Science Statistician

hace 2 semanas

Ciudad de México NielsenIQ A tiempo completo

Job Description
Data Science Statistician
**About the job**

responsible for maintaining Nielsen's statistical designs, ensuring that Universe Estimation and Sample Design activities are carried out on time and according to corporate standards, and executing activities within their responsibility with full autonomy.
**Responsibilities**
- Guarantee that the performance of tasks related to RES, SD, feasibilities, etc. are executed in a timely manner and with quality
- Ensuring the quality and integrity of the data used in the analyzes
- Provide expert technical assistance to internal clients to resolve questions regarding statistical designs
- Use statistical methodologies to analyze data
- Innovate based on a critical review of statistical designs and market needs.
**About you**

If you have more than two years of experience working in data science or statistics areas, have communication skills, fluent English and high analytical skills, this is the best option for you.
**Qualifications**
- Bachelor's degree in Actuarial Science, Statistics, Applied Mathematics or similar (desirable: master's degree or specialization)
- Strong statistical data analysis ability Intellectual curiosity and persistence to find answers
- Oral and written communication skills in Spanish and English
- Ability to lead projects (desirable) Ability to interact with multicultural work teams remotely (desirable) Interested in continually learning and adopting new technologies/tools
- Minimum 2 years of experience handling R and/or Python, knowledge of SQL Advanced level in the
- Office (Excel, Power Point) Knowledge of Machine Learning/Neural Networks (desirable)

Additional Information
REF13709O

**About NielsenIQ**

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.