Loyalty Rules
Senior Data Scientist - AI and Generative AI
Loyalty Rules, Naperville, Illinois, United States, 60564
Overview
Senior Data Scientist - AI and Generative AI. 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. Responsibilities
Advanced Modeling & AI Innovation
– 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. Stakeholder Collaboration & Model Transparency
– 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. AI Infrastructure, MLOps & Analytics Strategy
– Recommend scalable solutions for big data and GenAI infrastructure, applying MLOps practices such as CI/CD for ML, model versioning, monitoring, and governance to ensure robust and scalable deployment of AI/GenAI models. Enablement, Mentorship & Responsible AI Adoption
– 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. Qualifications
Bachelor’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. Compensation
The annual salary range is $143,000 - $187,740, which is based on location, experience, and skill. Discretionary bonuses based on company and individual performance are also available. What’s Next
Applications for this position will be accepted through September 22nd, 2025. After you apply, your application will be reviewed by a recruiter, so it may take a few weeks to hear back by email or phone. Visit our How We Hire page to get insights into our hiring process and more about what we offer. All applicants must have permanent legal authorization to work in the United States. Kellanova does not sponsor employment visas for this role. Need assistance throughout the application or hiring process? Email USA.Recruitment@Kellanova.com. Benefits
Benefits include medical, dental, vision, life, accidental death & dismemberment insurance, employee assistance program, short-term disability coverage, and long-term disability insurance. Also, voluntary income protection benefits such as supplemental life, accident as well as a 401(k) plan with company contributions is available. Part-time employees may have access to benefits on a pro-rated basis. See KellanovaTotalHealth.com for more information. Get to Know Us
At Kellanova, we are driven by our vision to be the world’s best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our portfolio includes Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Tresor, Crunchy Nut, among others. We celebrate boldness and empower our people to challenge the status quo, achieve results, and win together. Our focus on Equity, Diversity, and Inclusion (ED&I) enables a culture of belonging where all employees have a place at the table. Kellanova is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. For more information about Equity, Diversity & Inclusion, please visit our website. Contact
Nearest Major Market: Naperville. Nearest Secondary Market: Chicago.
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Senior Data Scientist - AI and Generative AI. 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. Responsibilities
Advanced Modeling & AI Innovation
– 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. Stakeholder Collaboration & Model Transparency
– 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. AI Infrastructure, MLOps & Analytics Strategy
– Recommend scalable solutions for big data and GenAI infrastructure, applying MLOps practices such as CI/CD for ML, model versioning, monitoring, and governance to ensure robust and scalable deployment of AI/GenAI models. Enablement, Mentorship & Responsible AI Adoption
– 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. Qualifications
Bachelor’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. Compensation
The annual salary range is $143,000 - $187,740, which is based on location, experience, and skill. Discretionary bonuses based on company and individual performance are also available. What’s Next
Applications for this position will be accepted through September 22nd, 2025. After you apply, your application will be reviewed by a recruiter, so it may take a few weeks to hear back by email or phone. Visit our How We Hire page to get insights into our hiring process and more about what we offer. All applicants must have permanent legal authorization to work in the United States. Kellanova does not sponsor employment visas for this role. Need assistance throughout the application or hiring process? Email USA.Recruitment@Kellanova.com. Benefits
Benefits include medical, dental, vision, life, accidental death & dismemberment insurance, employee assistance program, short-term disability coverage, and long-term disability insurance. Also, voluntary income protection benefits such as supplemental life, accident as well as a 401(k) plan with company contributions is available. Part-time employees may have access to benefits on a pro-rated basis. See KellanovaTotalHealth.com for more information. Get to Know Us
At Kellanova, we are driven by our vision to be the world’s best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our portfolio includes Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Tresor, Crunchy Nut, among others. We celebrate boldness and empower our people to challenge the status quo, achieve results, and win together. Our focus on Equity, Diversity, and Inclusion (ED&I) enables a culture of belonging where all employees have a place at the table. Kellanova is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. For more information about Equity, Diversity & Inclusion, please visit our website. Contact
Nearest Major Market: Naperville. Nearest Secondary Market: Chicago.
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