Data Science Manager

Overview

The role is to join a growing team based in the United States (preferably in Plano, Texas) to create and support global digital initiatives for PepsiCo under the SC&Ops umbrella.These initiatives will focus on one or more of the following areas: Manufacturing, Warehousing and Transportation.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work closely with process owners, product owners and final business users.

This will provide you the correct visibility and understanding of criticality of your developments. You will also be an internal ambassador of the team's culture around data and analytics, and will provide stewardship to colleagues in the areas that you are a specialist or you are specializing.

Responsibilities

Develop a sustainable analytical toolkit in the form of reusable libraries or components that can be deployed through configuration for specific projects and datasets.

This toolkit should cover a range of use cases, forecasting, recommendation engines, simulation, optimization and other advanced analytics solutions.

• Manage requests coming from various market-specific teams through data-driven prioritization by keeping the long-term product vision in mind
• Be able to work in Azure and Databricks environments, but be ready to switch to some other
• Partner with data engineers to ensure data readiness and accessibility for model consumption.
• Coordinate work activities with Business teams, other IT services and other teams, if required.
• Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed.
• Communicate with business stakeholders in the process of service design, training and knowledge transfer.
• Support large-scale hypothesis testing and build data-driven models.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.
• Translate requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research and bring to practice state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create reusable packages or libraries.

Compensation and Benefits:

• The expected compensation range for this position is between $106,400 - $178,100.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 12% 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

• 5+ years' experience designing and deploying solutions in revenue management, supply chain, or related operations domains.
• 5+ years working collaboratively within a team to deliver production-grade analytic solutions. Fluent with version control (Git) and containerization (Docker).
• 4+ years' experience with ETL pipelines and data wrangling techniques; fluent in SQL syntax and database query optimization.
• 5+ years' experience applying statistical and machine learning techniques to solve supervised (regression, classification) and unsupervised learning problems; experience with deep learning and foundational models is a plus.
• 5+ years' experience developing business-relevant statistical or machine learning models using industry-standard tools, with primary focus on Python or Scala.
• 5+ years' experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
• Demonstrated experience applying simulation and optimization methods to solve complex business or operational problems.
• Strong business storytelling and ability to communicate data insights in a clear, actionable format for business stakeholders.
• Strong communication and organizational skills with the ability to manage ambiguity and balance multiple priorities. Hands-on experience with Agile methodologies for teamwork and analytics product development; fluent in Jira and Confluence.
• Practical experience with Azure cloud services is essential.
• Experience with Reinforcement Learning is a plus.
• Experience with Computer Vision is a plus.
• Experience with NLP is a plus.
• Experience with Bayesian methods is a plus.
• Experience with causal inference techniques is a plus.
• Experience working with FAIR data principles is a plus.
• Knowledge and experience in Responsible AI practices is a plus.
• Familiarity with distributed machine learning frameworks is a plus.

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Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

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.

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