Senior Data Scientist - Commercial AI & Growth

Nestlé S.A.; St. Louis (MO); On-site; USD 133,000 - 188,000; Full time

Benefits offered by this job

401k matching

Healthcare coverage

Benefits package

Job summary

Nestlé Purina invites an Expert Data Scientist to lead the design, deployment, and governance of advanced ML and AI initiatives across marketing and commercial functions. You will work closely with brand, sales, and consumer insights teams to translate business needs into data-driven strategies.

The role emphasizes GenAI, RAG pipelines, and scalable AI platforms, with a focus on measurable value for retail and direct consumer engagement.

Qualifications

• Bachelor's degree in Data Science or related field.
• 5+ years in data science, analytics, and ML for commercial/consumer problems.
• 3+ years Python/SQL for analytics and modeling.
• 1+ years designing LLM-based apps for marketing or commercial use.
• 1+ years cloud platforms (Azure/AWS/GCP) and production AI systems.

Responsibilities

• Lead design, development, validation, and deployment of ML/AI solutions for commercial problems.
• Develop models for consumer-facing and GTM applications.
• Operationalize GenAI solutions, including RAG pipelines and copilots where appropriate.
• Partner with brand, marketing, and sales teams to translate priorities into AI solutions.
• Guide model deployment, governance, and lifecycle management.
• Mentor junior data scientists and share insights on emerging AI tech.

Skills

Data science

Machine learning

Python/SQL

TensorFlow

scikit-learn

GenAI

MLOps

AIOps

Leadership

Marketing analytics

Education

Bachelor's degree in Data Science

Master's or PhD preferred

MBA preferred

Tools

TensorFlow

scikit-learn

Python

SQL

Nielsen/IRI data

Job description

Nestlé Purina invites an Expert Data Scientist to lead the design, deployment, and governance of advanced ML and AI initiatives across marketing and commercial functions. You will work closely with brand, sales, and consumer insights teams to translate business needs into data-driven strategies.

The role emphasizes GenAI, RAG pipelines, and scalable AI platforms, with a focus on measurable value for retail and direct consumer engagement.