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Overview

PepsiCo is a global food and beverage leader with a product portfolio including 22 brands that generate more than $1 billion each in annual retail sales along with a billion smiles. Our main businesses – Pepsi, Frito-Lay, Quaker and Gatorade – make hundreds of enjoyable foods and beverages that are loved throughout the world.

At PepsiCo, you get the best of both worlds: an entrepreneur’s mindset plus reach and resources. Our collaborative culture and worldwide presence generate a stream of new opportunities to define the future and propel your life’s work. Bring your unique perspective. Bring curiosity. Bring ingenuity, and drive. We’ll give you a platform to be daring on a global scale.

If you are passionate about problem solving and want to fuel growth, come join the PepsiCo Customer Team for Walmart Inc., which includes Walmart US and Sam’s Club. The Senior Manager Insights & Data Science for PepsiCo’s Walmart Customer Team will be crucial in leading insights and analytics practice, leveraging Walmart’s Luminate data platform to accelerate growth.

As the Senior Manager of Data Science and Insights for Supply Chain, you will play a pivotal role in leading and advancing our data-driven decision-making processes. Your primary responsibility will be to oversee the development and implementation of advanced analytics and data science strategies to optimize our supply chain operations. You will collaborate with cross-functional teams to identify key business challenges and leverage data to provide actionable insights. The role will be responsible for developing predictive models, forecasting techniques, and optimization algorithms to enhance inventory management, demand forecasting, and overall supply chain efficiency.

The ideal candidate will possess a solid background in data analytics, statistical modeling, and business intelligence, complemented by strong leadership and communication skills. Your strategic mindset and passion for leveraging data to inform business strategy will be instrumental in shaping the analytics function and contributing to the organization's overall success.

Responsibilities

  • Insights Synthesis: Analyze complex data sets and distill meaningful insights, identifying key trends, patterns, and opportunities that align with business objectives. Present cohesive data-driven insights and results to all levels of the organization
  • Strategic Recommendations: Collaborate with cross-functional teams to translate analytical findings into actionable recommendations, providing strategic guidance for decision-makers.
  • Detailed Reporting: Develop and deliver insightful and visually compelling reports and dashboards that enable stakeholders at all levels to make informed decisions.
  • Data Storytelling: Effectively communicate findings through compelling narratives, ensuring that data insights are easily understandable and resonate with diverse audiences.
  • Perform weekly root cause analysis, utilizing models and data to identify inventory availability risks, and providing detailed action plans to mitigate potential “Out of Stock” items
  • Collaborative Leadership: Work closely with data analysts, scientists, and business stakeholders to understand data sources, methodologies, and business context, fostering a collaborative and integrated approach. Provide critical thought leadership to enhance organizational capabilities by utilizing a variety of data sets; work with business stakeholders to identify and execute on opportunities for enhancement
  • Hands on mining of large data sets and development of supervised and unsupervised models/algorithms to uncover trends, patterns, and insights
  • Establish standards for writing clean, organized machine learning code to streamline machine learning workflow within the team
  • Provide critical thought leadership to enhance organizational capabilities by utilizing a variety of data sets; work with business stakeholders to identify and execute on opportunities for enhancement
  • Partner with other analytics leaders within PepsiCo to foster enhanced analytical capabilities globally
  • Have a curious mindset and explore and learn new technologies that might be relevant to the role

Compensation and Benefits:

  • The expected compensation range for this position is between $114,700 - $192,100 based on a full-time schedule.
  • Location, confirmed job-related skills and experience will be considered in setting actual starting salary
  • Bonus based on performance and eligibility; target payout is 15% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

  • Bachelor’s or Master’s degree in a relevant field such as business analytics, data science, or Supply Chain.
  • 5-7 years of working experience
  • Proven experience in synthesizing complex data into actionable insights.
  • Proficient in data visualization tools and techniques.
  • Strong communication and presentation skills with the ability to convey technical information to non-technical audiences.
  • Knowledge of the data science art (feature engineering, modeling, AI capabilities, optimizers) and related technologies (cloud computing, open-source analytical capabilities)
  • Highly collaborative and demonstrated experience working well in matrix team environment
  • Demonstrated ability to drive innovative solutions using data science, feature engineering and machine learning
  • Demonstrated ability to effectively communicate with all levels of the organization
  • Demonstrated flexibility to manage resources to plan, including effectively handling spikes in demand
  • CPG industry experience is a plus
  • Brings in a combination of analytical expertise, data and system knowledge and business insight, to answer and anticipate critical business questions and opportunities and deliver insights to the business in ways that make significant impact 

Skills, Abilities, Knowledge:

  • Data Science – Hands-on expert in building machine learning models – supervised and unsupervised models like clustering, regression, classification, anomaly detection, time series, etc.
  • Programming Skills – Expertise in statistical programming languages like Python, database query languages like SQL, and machine learning packages like scikit-learn, pandas, xgboost etc.
  • Cloud (Azure) – Experience in Databricks/PySpark and distributed databases like Snowflake
  • Experience with analytical and visualization tools such as Alteryx, Tableau, and Power BI
  • Ability to direct data engineers to build widely consumable and reusable data models
  • Expert in mathematical models underlying data science methods
  • Demonstrated ability to communicate with both business and technical audiences effectively and concisely
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, A/B testing etc.
  • Demonstrated ability to effectively communicate with all levels of the organization
  • Demonstrated flexibility to manage resources to plan, including effectively handling spikes in demand
  • CPG industry experience is a plus

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement

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Confirmed 18 hours ago. Posted 20 days ago.

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