R&d Senior Data Scientist

Overview:
**We Are PepsiCo**

Join PepsiCo and Dare for Better We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.

Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.

Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.

A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

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**Join PepsiCo, dare for better.**

**Responsibilities**:
**The Opportunity**:
The Senior Data Scientist role within PepsiCo R&D’s Data Science & Analytics (DSA) team holds a thought leadership position who designs and develops advanced statistical / analytics models. The Senior Scientist provides technical guidance and is involved in cross-functional collaboration with other R&D teams. Aside from providing Data Science expertise in high priority AOPs (e.g., Portfolio of the Future and Portfolio Transformation).

**Your Impact**:
As R&D Senior Data Scientist your functions would consist of
- Leads the design of data collection protocols and testing to be followed during discovery and other phases of product development
- Provides technical guidance and validation of the Data Science development work to ensure model quality and accuracy
- Oversees the creation of quality metrics for the implementation and execution of Advanced Analytics projects, reporting them to key stakeholders
- Ensure the scalability, stability, and performance of code and models developed by the DSA team.
- Ensure technical alignment with the DSA team.
- Conduct research / develop methodologies on combining core statistical techniques with machine learning techniques in product development initiatives and for analytics.

Qualifications:
**Who Are We Looking For?**

**Education**
- Bachelor's / Master’s degree (or Ph.D.) in Statistics, Mathematics, Computer Science, Data Science, or related field.

**Experience**
- 3+ years of experience (for Master’s degree holder) in statistics and/or data science, including hands-on experience in experimentation, data analysis, model design, development, and execution.
- (Must / Preferred): Technical training and/or practical experience designing experiments for formulation or process optimization (response surface designs and mixture designs).
- Fluent in English and Spanish, this is a global role.
- Expertise in data analysis, statistical modeling (univariate and multivariate), machine learning tools, and data manipulation.
- Proficient in tools and languages like R, Python, Minitab, JMP, SAS.

**What can you expect from us**:

- Opportunities to learn and develop every day through a wide range of programs.
- Internal digital platforms that promote self-learning.
- Development programs according to Leadership skills.
- Specialized training according to the role.
- Learning experiences with internal and external providers.
- We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.
- Financial wellness programs that will help you reach your goals in all stages of life
- A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
- And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

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.