PepsiCo

Sr Statistical Modeler

PepsiCo

Chicago, IL, USA
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

PepsiCo is looking for a Sr Statistical Modeler with an innovative mindset and a passion for problem-solving. In this role, you will be responsible for developing and implementing predictive models in support of PepsiCo's business objectives. The ideal candidate will have a deep understanding of complex statistical and modeling concepts, as well as the ability to effectively relay and explain technical information to non-technical stakeholders.To be successful in this role, you must have a minimum of 5 years of quantitative modeling experience, a Master's degree in a quantitative field (e.g. Mathematics, Statistics, Computer Science, Engineering), and advanced proficiency in statistical software such as SAS, R, or Python. Additionally, you must be highly organized, able to manage multiple projects concurrently, and have strong communication and presentation skills. If this sounds like the challenge you’ve been looking for, we want to hear from you!

Responsibilities:

  1. Develop and implement predictive models in support of PepsiCo's business objectives.
  2. Utilize advanced statistical and modeling skills to analyze complex data sets.
  3. Create and present reports to business stakeholders in a clear and concise manner.
  4. Develop and maintain predictive models and algorithms using tools such as SAS, R, or Python.
  5. Collaborate with other departments to identify opportunities to improve model performance and accuracy.
  6. Monitor performance of existing models and suggest improvements to optimize results.
  7. Research and develop new methods and approaches for predictive modeling.
  8. Provide technical guidance and training to other team members.
  9. Stay up-to-date with industry trends and developments.
Where is this job?
This job is located at Chicago, IL, USA
Job Qualifications
  • Or Related Field

  • Python

  • Statistics

  • Bachelor's Degree In Mathematics

  • Advanced Knowledge Of Statistical Modeling Techniques

  • Experience With Data Mining And Predictive Analytics

  • Knowledge Of Data Visualization Techniques And Tools

  • Proficiency In Programming Languages Such As R

  • And Sas

  • Ability To Analyze Complex Data Sets And Draw Meaningful Conclusions

  • Excellent Communication Skills To Present Complex Findings To A Variety Of Stakeholders

  • Ability To

Required Skills
  • Project Management

  • Programming

  • Business Intelligence

  • statistical analysis

  • Forecasting

  • Machine Learning

  • Reporting

  • Data Visualization

  • Coding

  • Algorithm design

  • Data Mining

  • Data science

  • Modeling

  • Data wrangling

  • Analyzing

Soft Skills
  • Communication

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • self-motivation

  • flexibility

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Sr Statistical Modeler in Chicago, IL, USA is $84,000 to $105,000. This range is based on the salaries of individuals in similar roles in the Chicago area.

Additional Information
PepsiCo is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 30th, 2023
Apply BeforeJuly 20th, 2025
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About PepsiCo

PepsiCo, Inc. engages in the manufacturing, marketing, distribution, and sale of beverages, foods, and snacks. It is a food and beverage company with a complementary portfolio of brands, including Frito-Lay, Gatorade, Pepsi-Cola, Quaker and Tropicana. It operates through the following segments: Frito-Lay North America; Quaker Foods North America; North America Beverages; Latin America; Europe Sub-Saharan Africa; and Asia, Middle East, and North Africa.

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