Python jobs in Mexico

At AutoZone, we consistently utilize data to enhance our systems and solutions. We are seeking an experienced Data Scientist capable of providing daily insights that inform strategic decisions. The ideal candidate will possess exceptional mathematical and statistical skills coupled with a high level of curiosity and creativity. Key responsibilities include data mining, interpretation, and cleansing, as well as identifying strategic opportunities to maximize data utilization.

In this role, you will collaborate with senior data scientists and management to understand their needs. Additionally, you will conduct research, develop innovative statistical models for data analysis, and communicate your findings to all stakeholders. You will facilitate smarter business processes by implementing analytics for valuable insights. It is essential to remain updated on technical and industry advancements.

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assist in translating complex datasets into strategic insights for the business and to communicate to non-technical audiences, visualize results, and create understandings and solution buy-in
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Develop company A/B testing framework and test model quality
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

• Level of formal education: A Bachelor's degree (BA, BS) or equivalent. Master’s degree preferred.
• Area of study: Statistics, applied Mathematics, Economics or related discipline.
• Years of experience: +4 years in analysis and/or data science environment.
• Type of experience: Success in this position necessitates a comprehensive statistical skill set, including multiple linear regression, multivariate adaptive regression splines, cluster analysis, and time series modeling. Additionally, a strong proficiency in data skills is essential, such as SQL programming and SAS data step programming for data preparation for analysis and modeling.
• Special certifications or technical skills:
  • Advanced pattern recognition and predictive modeling experience.
  • Experience with MS Office suite. Specifically on Excel and Power Point.
  • Technical skills may include experience with one or more database management system and programming languages, such as SQL, SAS, Python and/or R.
  • Cloud technical skills, proficient in data modeling, and data software support. Preferably in GCP.
  • Problem solving and analytical skills.
  • Presentation, facilitation and writing skills.
• Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects.

AutoZone de México is the leading retailer and distributor of automotive parts and accessories in the Americas. In Mexico, there are more than 800 stores; two distribution centers; one Store Support Center, the Centro de Apoyo a Tiendas (CAT) is located in Monterrey, México,; one Business and Technology Store Support Center (BTSSC) located in Chihuahua more than 16,000 AutoZoners nationwide.

Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.

AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.