Senior Data Scientist - AI and Generative AI

Kellogg's-posted 4 months ago
$143,000 - $187,740/Yr
Senior
Hybrid • Naperville, IL
Fabricated Metal Product Manufacturing
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We're looking for a Senior Data Scientist - AI and Generative AI to unlock actionable insights and drive value across the business. In this hybrid role, you'll collaborate with cross-functional teams to develop advanced decision models using statistical, machine learning, and generative AI techniques. This position can be based in Battle Creek, MI or Chicago/Naperville, IL. As part of the Kellanova Global Data & Analytics (GDA) team, you'll contribute to a culture of agility, growth, and innovation. Our mission is to enhance decision-making capabilities and maximize the growth potential of our trusted food brands through cutting-edge data science and AI solutions.

  • Develop and enhance decision models using probabilistic, machine learning, and generative AI techniques.
  • Lead large-scale, high-value projects that push the boundaries of statistical and AI capabilities, leveraging platforms like Databricks for model development, distributed data processing, and deployment pipelines.
  • Partner with business experts to understand challenges and pilot proof-of-concept models using diverse data types.
  • Clearly communicate model outputs and rationale to build trust and foster adoption of AI/GenAI solutions.
  • Recommend scalable solutions for big data and GenAI infrastructure, applying MLOps practices such as CI/CD for ML, model versioning, monitoring, and governance.
  • Drive adoption of AI tools and models through training and support.
  • Mentor junior team members and promote a culture of innovation and responsible AI use across the organization.
  • Master's degree in Data Science, AI, Computer Science, Statistics, Mathematics, or a related field—or equivalent professional experience or certification.
  • Demonstrated success applying data science and AI/GenAI solutions in consumer-centric or relevant industries.
  • Proficient in Python, R, or similar languages, with hands-on experience using machine learning frameworks and GenAI libraries such as Hugging Face, LangChain, LangGraph, PyTorch, or TensorFlow.
  • Skilled in data analysis, algorithm development, machine learning, and generative AI—including large language models, diffusion models, and multimodal AI.
  • Proven ability to design, build, and operationalize AI/GenAI applications like chatbots, recommendation systems, automated content generation, and decision-support tools.
  • Strong understanding of the AI/ML model lifecycle (training, fine-tuning, deployment, monitoring, governance) with a focus on responsible AI and ethical considerations.
  • Capable of translating complex technical concepts into clear insights for technical and non-technical audiences, fostering trust and adoption across stakeholder groups.
  • Medical, dental, vision, life, accidental death & dismemberment insurance.
  • Employee assistance program.
  • Short-term disability coverage.
  • Long-term disability insurance.
  • Voluntary income protection benefits such as supplemental life and accident insurance.
  • 401(k) plan with company contributions.
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