Customer Experience Data Scientist

Provides complex data and predictive analytics solutions to identify and address opportunities for department/business function objectives. In particular, the Data Scientist will be responsible for extracting relevant data, modeling business processes, discovering business insights, and identifying opportunities through the use of in-depth statistical, algorithmic, data mining and advanced visualization techniques including exploring new applications for advanced analytics.

Business functions supported include: Customer Experience.

Job Functions

• Data Science & Modeling: Designs and builds statistical and machine learning models using tools like R and Python; handles data extraction, cleansing, predictive analytics, and experimental validation.

• Cross-Functional Collaboration: Works closely with internal teams (e.g., IS/IT, Marketing, CX) and external SMEs to define requirements, share insights, and deliver actionable solutions aligned with business goals.

• Data Strategy & Infrastructure: Identifies relevant internal and external data sources, contributes to data pipeline development, and ensures data governance and compliance with security policies.

• Continuous Improvement & Governance: Monitors model performance, recommends improvements, aligns with regulatory frameworks, and supports strategic decision-making through advanced analytics.

Education: Bachelor´s degree in applied mathematics, statistics, computer science/related field with Master’s degree preferred; or B.S. degree with comparable experience in analytics/data program, specialized educational track or certification acknowledged by Nissan.
Years of Experience:

• At least 3 years of relevant experience in data analysis, data management, quantitative and qualitative research and analytics experience.

• Proven experience in building, deploying, and maintaining analytics models.

Language: Advanced English
Job Knowledge and Skills:

• Ability to find solutions to loosely defined business problems by leveraging structured, semi-structured & large unstructured datasets.

• Uses appropriate SQL tools and techniques to explore given datasets or databases including data preparation, cleansing, and data product assembly.

• Advanced knowledge of statistical and machine learning methods required. High proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

• Can write functional code using common programming languages (R and/or Python).

• Builds models which can successfully determine whether relationships exist between various data & reach insights

• Strong communication and interpersonal skills desired.

• Must possess ability to synthesize data, uncover inherent trends in the data, make recommendations about associated opportunities and implications to business performance, & communicate findings & recommendations to a variety of audiences.

4. Specific Course/Certifications

• Advanced working knowledge of relational databases (SQL Server, Oracle, MySQL), mainframe, big data (Hadoop) and/or cloud-based databases & platforms.

• Advanced knowledge and prior use of R & Python is preferred.

• Tableau visual analytics experience a plus (or comparable tools).

• Experience with SQL, coding, VBA, scripting, ETL, or data preparation/wrangling.

• Thorough knowledge of word processor, spreadsheet, other PC applications.

• Familiarity & hands-on experience with distributed & mainframe applications to create specialized products of a highly technical nature is a plus.

• Experience with Adobe Analytics and Google Analytics a benefit.

By applying for the advertised position, candidates acknowledge that Nissan Mexicana and its subsidiaries reserve the right to conduct a public conduct search due to the sensitive nature of the assets and information involved in the role. This includes, but is not limited to, proprietary information, financial data, and other assets requiring safeguarding. Nissan Mexicana and its subsidiaries assure confidentiality and compliance with all legal requirements regarding the use of such information.  By applying for this position, you are consenting to this check.

Nissan (NMEX, NRFS, NRFM y ANZEN) realiza contrataciones con base al cumplimiento del perfil de puesto en la vacante, sin distinción, ni discriminación por género, identidad y/o expresión de género, orientación sexual, raza, color, idioma, religión, opinión política o de cualquier otra índole, origen nacional o social, posición económica, nacimiento o cualquier otra condición.

Nissan (NMEX, NRFS, NRFM and ANZEN) hires based on the fulfillment of the job profile in the vacancy, without distinction or discrimination based on gender, gender identity and/or expression, sexual orientation, race, color, language, religion, political or any other opinion, national or social origin, economic position, birth or any other condition.

Mexico City Mexico