MLOps Tech Lead - Scalable Enterprise Data Science

PepsiCo Inc.; Plano (TX); On-site; USD 128,000 - 222,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability

Health Reimbursement Accounts

Employee Assistance Program

Insurance (Accident, Group Legal, Life

Defined Contribution Retirement Plan

Job summary

PepsiCo is seeking a Principal Data Scientist to build, scale, and sustain global digital analytics solutions across the enterprise. You will partner with Product, Data Engineering, ML Engineering, IT, and business stakeholders to move analytical solutions from discovery to scalable production adoption.

You will lead as a senior hands-on contributor and technical leader, translating business needs into advanced ML solutions that are reliable, observable, and reusable, with potential evolution

Qualifications

• 6+ years of experience building and delivering analytics, data science, or machine learning solutions in commercial, supply chain, manufacturing, logistics, finance, sales, or related business domains.
• 6+ years of experience applying statistical and machine learning techniques to solve business problems.
• 6+ years of hands-on experience using Python for statistical or machine learning model development.
• 6+ years of experience with SQL, ETL, data wrangling, and preparing data for analytical or machine learning use cases.
• Experience designing, deploying, monitoring, and sustaining production-level or business-critical machine learning, statistical, analytics, or reporting solutions.
• Experience operationalizing analytical models with engineering teams, including scalability, reliability, refresh cadence, monitoring, support, and model consumption requirements.
• Strong understanding of model lifecycle practices, including experimentation, reproducible development, model validation, testing, documentation, version control, and performance tracking.
• 4+ years of experience developing and delivering solutions using cloud-based data or compute platforms for scalable model training, scoring, monitoring, or consumption.
• Experience with enterprise-grade analytics platforms such as Databricks, Azure-based data platforms, or similar scalable cloud environments.
• Experience with Agile delivery methodologies, analytics product development, and modern engineering practices such as Git.
• Strong communication, stakeholder management, and organizational skills, with the ability to manage ambiguity, balance multiple priorities, and translate complex technical concepts into business-consumable insights.

Responsibilities

• Lead highly complex data science initiatives from discovery through model development, deployment, monitoring, and sustained business use.
• Translate business problems into modeling, experimentation, simulation, optimization, and machine learning approaches with clear pathways to scalable production adoption.
• Design analytical solutions that are explainable, reusable, reliable, observable, and supportable in enterprise environments.
• Partner with Product Managers, Product Owners, Data Engineering, ML Engineering, IT, and business stakeholders to define requirements, shape roadmaps, and deliver business-ready analytics products.
• Work with engineering teams to industrialize models into production-ready components, services, workflows, scheduled scoring processes, and reusable patterns.
• Define success metrics, KPIs, model health measures, data quality checks, and business outcome metrics to evaluate performance and impact after deployment.
• Research and apply appropriate emerging methods in machine learning, AI, statistics, optimization, and advanced analytics.
• Create reusable packages, libraries, documentation, best practices, and knowledge-transfer materials that advance the broader Data Science community.
• Provide technical leadership, coaching, and guidance to Data Scientists, ML Engineers, and cross-functional partners.
• Help shape a collaborative culture focused on innovation, productization, reliability, reproducibility, and measurable business impact.

Skills

Python

SQL

Data wrangling

Statistics

Machine learning

Cloud platforms

Agile delivery

Git

Communication

Tools

Databricks

Azure

Jenkins

Docker

Kubernetes

CI/CD

Job description

PepsiCo is seeking a Principal Data Scientist to build, scale, and sustain global digital analytics solutions across the enterprise. You will partner with Product, Data Engineering, ML Engineering, IT, and business stakeholders to move analytical solutions from discovery to scalable production adoption.

You will lead as a senior hands-on contributor and technical leader, translating business needs into advanced ML solutions that are reliable, observable, and reusable, with potential evolution