PepsiCo Hiring for Data Scientist Jr. Job at Ciudad de México Full Time

Job Description

Are you looking for a challenging opportunity in an organization with a dynamic, innovative and diverse environment?

Do you want to be a pioneer in a dynamic field of applied analytics?

Forward-thinking HR organizations are tapping into the vast stores of data they have at their disposal to measure, monitor, and improve the management of their organization’s greatest asset – their people. Envision yourself on the cutting edge of this new discipline, and joining us at the intersection of statistics, data science, marketing research, economics, psychology, and sociology. Our group is where you get to learn from authorities in the field, work with a highly accomplished interdisciplinary team of colleagues, and use your Science, Technology, Engineering & Math (STEM) degree in an unexpected way to help PepsiCo build a work environment where talent thrives.

For more information you can enter www.pepsico.com

Now we are looking for this position:

Data Scientist Jr.

Main purpose

The Data Analyst, Data Science is part of the People Analytics Center-of-Excellence. Our team collaborates with all levels of the organization from our executives to people in our worldwide network of professional, sales, manufacturing, and distribution facilities. You will be responsible for applying new technologies to business problems and helping develop insights from ground-breaking statistical and machine learning models of complex human resources and business challenges.

Accountabilities

• Using your analytical skills to design research studies of employee behaviors and outcomes
• Developing novel predictive models and algorithms to solve business problems and continuously striving to improve them
• Helping partners understand key insights and working with them to develop and implement action plans leading to real business impact through effective communication and close collaboration
• Designing and conducting experiments, in partnership with a team, to understand human behavior and experiment different ways to influence it at work
• Identifying, gathering, and analyzing complex, multi-dimensional and high velocity datasets utilizing a variety of tools.
• Performing descriptive and inferential analyses of data relating to employees’ lifecycles within the company including talent acquisition, development, promotion, retention, and career mobility

Qualifications/Requirements

Skills / Experience

• Advanced degree (Masters preferred) in an applied quantitative or social science discipline, such as Data Science, Computer Science, Applied Statistics, etc.
• Technical expertise with Data Lakes and Data Warehouses, Data Virtualization, BI tools
• Experience in Microsoft tools such as Power BI, Power apps, Power flow.
• Working experience with Agile and DevOps
• Ability to understand complex functional and IT requirements and be able to identify and offer multiple solution options to facilitate the best outcome.
• MS Office experience, including Excel (v-lookups, pivot tables, etc.) and PowerPoint
• Expertise in SQL, Power BI and Python or R
• Develop dashboard audit capabilities to improve data reliability
• Minimum of 2 years of experience with programming and application development using Python, R, R-Shiny and SQL.
• Minimum of 2+ years of experience in building multi-variate statistical modeling, including approaches like linear and logistic regression
• Experience in applying AI, NLP, and machine/deep learning towards topics like prediction modeling, text analytics, sentiment analysis, and/or path analysis experience in managing data acquisition and organization, as required to build statistical models.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.

Thank you so much for your interest in PepsiCo!

Relocation Eligible: No Aplicable (N/A)
Job Type: Indefinido