PepsiCo Deutschland GmbH
Senior Manager, Data Science, PepsiCo Customer Team- Walmart
PepsiCo Deutschland GmbH, Rogers, Arkansas, United States, 72758
Overview
Location - TX-Plano-5600-Office-TX240Senior Manager, Advanced Analytics, PepsiCo Customer Team- Walmart (L11)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.About the Job:If you are passionate about problem solving and want to fuel growth, come join the PepsiCoCustomer Team for Walmart Inc., which includes Walmart US and Sam’s Club.The Senior Manager Advanced Analytics for PepsiCo’s Walmart Customer Team will be crucial in leading data science and analytics practice, leveraging internal data as well as Walmart’s new Luminate data platform to accelerate growth.In this role, you will lead data science and visualization initiatives for omnichannel performance across the entire beverages and foods portfolio for a significant portion of PepsiCo’s business in North America, reporting into the Director of Advanced Analytics.The Senior manager of Data Science would be someone who thrives at the intersection of data science, technology and business understanding to drive source to shelf supply chain analytics and bring an understanding of economics to inform pricing and net revenue management analytics to drive omnichannel revenue growth and improve share of market.You are someone who loves to look for the best solution instead of being satisfied with the status quo.As a leader, you would be communicating the results to key commercial team members in sales, supply chain, marketing, eCommerce and Insights teams.It will be critical to derive meaningful insights and translate sophisticated results or algorithms into actionable and clearly expressed conclusions that will empower the business to take meaningful actions.What our team does:Build machine learning systems to understand the cross-channel Walmart performancePerform statistical analysis across diverse datasets to drive and measure performanceWork with PepsiCo’s strategic partners to expand their technical capabilities, thereby creating a more robust data environmentPartner with global teams to develop scalable tools to drive automation and optimize business operationsSolve commercial problems from headquarters all the way down to the field
Responsibilities
Lead and develop a small team of data scientists and business intelligence experts to inform supply chain and commercial teams with insightsHands on mining of large data sets and development of supervised and unsupervised models/algorithms to uncover trends, patterns, and insightsEstablish standards for writing clean, organized machine learning code to streamline machine learning workflow within the teamProvide 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 enhancementLeads building and codification of analytical insights in several business domains including sales, marketing, supply chain and omnichannel to develop granular analytics and drive effectiveness for assortment & merchandising optimization, store clustering, new product introductions, seasonal programs, shopper marketing, and pricing & promotional planningBrings 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 impactCollaborate with multi-functional teams including account teams (sales, strategy, e-comm sales, commercial insights, advanced analytics team, shopper marketing), brand, supply chain, and commercialization teams.Partner with other analytics leaders within PepsiCo to foster enhanced analytical capabilities globallyHave a curious mindset and explore and learn new technologies that might be relevant to the roleCompensation and Benefits:The expected compensation range for this position is between $114,700 - $192,100.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
Master’s Degree in Data Science or equivalent with an understanding of either supply chain or commercial finance6-8 years of relevant work experienceD. a plus but not requiredAt least 4 years of software development and machine learning experience in a business environmentExperience delivering forecasting and/or pricing analytics projectsAbility to direct data engineers to build widely consumable and reusable data modelsExpert in mathematical models underlying data science methodsDemonstrated ability to communicate with both business and technical audiences effectively and concisely2-4+ years of experience leading/building advanced analytics and big data solutions1-2+ years managing a small team that are a blend of onshore and offshore resourcesKnowledge 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 environmentDemonstrated ability to drive innovative solutions using data science, feature engineering and machine learningDemonstrated ability to effectively communicate with all levels of the organizationDemonstrated flexibility to manage resources to plan, including effectively handling spikes in demandCPG industry experience is a plusSkills, 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.Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, A/B testing etc.Cloud (Azure) – Experience in Databricks/PySpark and distributed databases like SnowflakeData Visualization tools and/or toolkits like Power BI, Streamlit etcSome familiarity with Deep learning frameworks like PyTorch, TensorFlow
EEO Statement
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 IdentityIf 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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Location - TX-Plano-5600-Office-TX240Senior Manager, Advanced Analytics, PepsiCo Customer Team- Walmart (L11)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.About the Job:If you are passionate about problem solving and want to fuel growth, come join the PepsiCoCustomer Team for Walmart Inc., which includes Walmart US and Sam’s Club.The Senior Manager Advanced Analytics for PepsiCo’s Walmart Customer Team will be crucial in leading data science and analytics practice, leveraging internal data as well as Walmart’s new Luminate data platform to accelerate growth.In this role, you will lead data science and visualization initiatives for omnichannel performance across the entire beverages and foods portfolio for a significant portion of PepsiCo’s business in North America, reporting into the Director of Advanced Analytics.The Senior manager of Data Science would be someone who thrives at the intersection of data science, technology and business understanding to drive source to shelf supply chain analytics and bring an understanding of economics to inform pricing and net revenue management analytics to drive omnichannel revenue growth and improve share of market.You are someone who loves to look for the best solution instead of being satisfied with the status quo.As a leader, you would be communicating the results to key commercial team members in sales, supply chain, marketing, eCommerce and Insights teams.It will be critical to derive meaningful insights and translate sophisticated results or algorithms into actionable and clearly expressed conclusions that will empower the business to take meaningful actions.What our team does:Build machine learning systems to understand the cross-channel Walmart performancePerform statistical analysis across diverse datasets to drive and measure performanceWork with PepsiCo’s strategic partners to expand their technical capabilities, thereby creating a more robust data environmentPartner with global teams to develop scalable tools to drive automation and optimize business operationsSolve commercial problems from headquarters all the way down to the field
Responsibilities
Lead and develop a small team of data scientists and business intelligence experts to inform supply chain and commercial teams with insightsHands on mining of large data sets and development of supervised and unsupervised models/algorithms to uncover trends, patterns, and insightsEstablish standards for writing clean, organized machine learning code to streamline machine learning workflow within the teamProvide 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 enhancementLeads building and codification of analytical insights in several business domains including sales, marketing, supply chain and omnichannel to develop granular analytics and drive effectiveness for assortment & merchandising optimization, store clustering, new product introductions, seasonal programs, shopper marketing, and pricing & promotional planningBrings 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 impactCollaborate with multi-functional teams including account teams (sales, strategy, e-comm sales, commercial insights, advanced analytics team, shopper marketing), brand, supply chain, and commercialization teams.Partner with other analytics leaders within PepsiCo to foster enhanced analytical capabilities globallyHave a curious mindset and explore and learn new technologies that might be relevant to the roleCompensation and Benefits:The expected compensation range for this position is between $114,700 - $192,100.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
Master’s Degree in Data Science or equivalent with an understanding of either supply chain or commercial finance6-8 years of relevant work experienceD. a plus but not requiredAt least 4 years of software development and machine learning experience in a business environmentExperience delivering forecasting and/or pricing analytics projectsAbility to direct data engineers to build widely consumable and reusable data modelsExpert in mathematical models underlying data science methodsDemonstrated ability to communicate with both business and technical audiences effectively and concisely2-4+ years of experience leading/building advanced analytics and big data solutions1-2+ years managing a small team that are a blend of onshore and offshore resourcesKnowledge 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 environmentDemonstrated ability to drive innovative solutions using data science, feature engineering and machine learningDemonstrated ability to effectively communicate with all levels of the organizationDemonstrated flexibility to manage resources to plan, including effectively handling spikes in demandCPG industry experience is a plusSkills, 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.Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, A/B testing etc.Cloud (Azure) – Experience in Databricks/PySpark and distributed databases like SnowflakeData Visualization tools and/or toolkits like Power BI, Streamlit etcSome familiarity with Deep learning frameworks like PyTorch, TensorFlow
EEO Statement
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 IdentityIf 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
#J-18808-Ljbffr