Data Science Manager

PepsiCo; Purchase (NY); On-site; USD 106,000 - 179,000; Full time

Job summary

A leading food and beverage company seeks a senior data expert to join its team in New York. This position focuses on creating and supporting global digital initiatives, working closely with process and product owners to build deployable machine learning models. Candidates should have 7+ years in revenue management or supply chain, extensive experience with SQL and machine learning techniques, and a strong ability to communicate data insights effectively. A comprehensive benefits package is provided, along with competitive compensation.

Benefits

Comprehensive benefits package

Paid parental leave

Performance bonus

Qualifications

• 7+ years’ experience in revenue management or supply chain.
• 5+ years in collaborative analytic solutions.
• 7+ years with ETL and data wrangling.
• Experience in machine learning techniques.
• Fluent in SQL and optimizing database queries.
• Practical experience with Azure services.

Responsibilities

• Manage data-driven requests from teams.
• Work in Azure and Databricks environments.
• Partner with data engineers for model readiness.
• Set KPIs for analytics solutions.
• Translate requirements into data models.

Skills

Data storytelling

Communication skills

Agile methodologies

Statistical techniques

Machine learning

ETL pipelines

SQL optimization

Tools

Python

SQL

Docker

Azure

Jira

Confluence

Job description

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

• 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 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

Qualifications

• 7+ 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)
• 7+ years’ experience with ETL pipelines and data wrangling techniques; fluent in SQL syntax and database query optimization
• 7+ 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
• 7+ years’ experience developing business-relevant statistical or machine learning models using industry-standard tools, with primary focus on Python or Scala
• 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, Computer Vision, NLP, Bayesian methods, causal inference techniques, FAIR data principles, Responsible AI practices, and distributed machine learning frameworks is a plus

Compensation and Benefits

• The expected compensation range for this position is between $106,400 and $178,100
• 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
• Comprehensive benefits package including Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts; Employee Assistance Program; Insurance (Accident, Group Legal, Life); Defined Contribution Retirement Plan

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 Identity