Senior Data Scientist

Prospect Heights, IL, United States

M.S. or Ph. D. in Computer Science, Statistics, Economics, Mathematics or another related field

A minimum of 5 years’ experience in applying data science within a consumer centric organization or other relevant experience

Programming experience in either Python/ R or other

Demonstratable experience in data mining with advanced predictive modeling and a proven track record in advanced statistical design and analysis, decision-based optimization, or advanced forecasting techniques

Experience in data analysis, data manipulation, data mining, algorithm development, or machine learning/artificial intelligence

A proven track record of leading a small team of data scientists

Ability to communicate complex technical concepts to different audiences across the team, business partners, external stakeholders etc

Responsibilities You will be a part of the development of optimized decision models accounting for uncertainty through probabilistic (or other) methods with the results being verified by the business process

As is often the case, results can go against current belief, you will need to be comfortable to expose the rationale in easy-to-understand terms for the business

Data Analytics - This role will require at times, research to be conducted across multiple disciplines

Providing recommendations across the broader IT function on big data infrastructure along with research and thought leadership across the business domain are just a couple of examples where your expertise will be required in proposing and simplifying complex paradigms

Not all the data will be readily available, so understanding what exists internally and is relevant whilst leveraging new data collection processes (inc. externally) will undoubtedly be required

Training and Mentoring – Along with end-user training of the models or tools you develop, coupling your domain and modelling expertise will be called upon to provide guidance, training and problem-solving assistance to other team members whilst mentoring less-experienced individuals

Qualifications M.S. or Ph. D. in Computer Science, Statistics, Economics, Mathematics or another related field

Or equivalent work experience

A minimum of 5 years’ experience in applying data science within a consumer centric organization or other relevant experience

Programming experience in either Python/ R or other

Demonstratable experience in data mining with advanced predictive modeling and a proven track record in advanced statistical design and analysis, decision-based optimization, or advanced forecasting techniques

Experience in data analysis, data manipulation, data mining, algorithm development, or machine learning/artificial intelligence

A proven track record of leading a small team of data scientists

Ability to communicate complex technical concepts to different audiences across the team, business partners, external stakeholders etc

Responsibilities You will be a part of the development of optimized decision models accounting for uncertainty through probabilistic (or other) methods with the results being verified by the business process

As is often the case, results can go against current belief, you will need to be comfortable to expose the rationale in easy-to-understand terms for the business

Data Analytics - This role will require at times, research to be conducted across multiple disciplines

Providing recommendations across the broader IT function on big data infrastructure along with research and thought leadership across the business domain are just a couple of examples where your expertise will be required in proposing and simplifying complex paradigms

Not all the data will be readily available, so understanding what exists internally and is relevant whilst leveraging new data collection processes (inc. externally) will undoubtedly be required

Training and Mentoring – Along with end-user training of the models or tools you develop, coupling your domain and modelling expertise will be called upon to provide guidance, training and problem-solving assistance to other team members whilst mentoring less-experienced individuals

Are you a dynamic and keen innovator or a curious and a disruptive thinker? Then Kellanova is the place for you because at Kellanova we focus on agility, growth, and innovation. On the Global Data Science team, we are seeking a Senior Data Scientist to unearth new insights the business can action against to drive value.

The global data science team is embarking on an exciting journey to harness... and enhance our decision-making capability that will empower us to maximize the growth potential of our trusted food brands. Forging strong business relations, this role will require you to partner with different functions to exercise knowledge of descriptive and multivariate statistical techniques to develop decision models that drive business goals.

This position is a hybrid role and could be located in Battle Creek, Michigan area or in the Chicago, Illinois area.

A Taste of What You’ll Be Doing

• Data Modeling – Our goal is to advance the business’ decision-making capability across the commercial and supply chain space whilst taking existing modeling methods to the next level. You will be a part of the development of optimized decision models accounting for uncertainty through probabilistic (or other) methods with the results being verified by the business process. Strong and demonstrable delivery on high value and large-scale data science projects from a statistical and machine learning standpoint to advance our existing repository of tools and practices. You will lead the team across certain initiatives, previous leadership experience is preferred.

• Stakeholder engagement - Working with business subject matter experts to see the world through their eyes will form a large component of the role where piloting proof of concept models using limited to very large and unstructured data sets is often required. As is often the case, results can go against current belief, you will need to be comfortable to expose the rationale in easy-to-understand terms for the business.

• Data Analytics - This role will require at times, research to be conducted across multiple disciplines. Providing recommendations across the broader IT function on big data infrastructure along with research and thought leadership across the business domain are just a couple of examples where your expertise will be required in proposing and simplifying complex paradigms. Not all the data will be readily available, so understanding what exists internally and is relevant whilst leveraging new data collection processes (inc. externally) will undoubtedly be required.

• Training and Mentoring – Along with end-user training of the models or tools you develop, coupling your domain and modelling expertise will be called upon to provide guidance, training and problem-solving assistance to other team members whilst mentoring less-experienced individuals.

Your Recipe for Success

• M.S. or Ph. D. in Computer Science, Statistics, Economics, Mathematics or another related field. Or specialized training/certification. Or equivalent work experience

• A minimum of 5 years’ experience in applying data science within a consumer centric organization or other relevant experience

• Programming experience in either Python/ R or other

• Demonstratable experience in data mining with advanced predictive modeling and a proven track record in advanced statistical design and analysis, decision-based optimization, or advanced forecasting techniques

• Experience in data analysis, data manipulation, data mining, algorithm development, or machine learning/artificial intelligence

• A proven track record of leading a small team of data scientists

• Ability to communicate complex technical concepts to different audiences across the team, business partners, external stakeholders etc

What’s Next

After you apply, your application will be reviewed by a real recruiter – not a bot. This means it could take us a little while to get back with you so watch your inbox for updates. In the meantime, visit our How We Hire page to get insights into our hiring process and how to best prepare for a Kellanova interview.

If we can help you with a reasonable accommodation throughout the application or hiring process, please email [email protected]

This role takes part in Locate for Your Day, Kellanova’s hybrid way of working that empowers office-based employees to, in partnership with their managers, find a balance between working from home and the office.

About Kellanova

Kellanova is a leading company in global snacking, international cereal and noodles, plant-based foods, and North America frozen breakfast, and a portfolio of iconic, world-class brands, including Pringles, Cheez-It, Pop-Tarts, Kellogg’s Rice Krispies Treats, MorningStar Farms, Incogmeato, Gardenburger, Nutri-Grain, RXBAR, and Eggo. We also steward a suite of beloved international cereal brands, including Kellogg’s, Frosties, Zucaritas, Special K, Krave, Miel Pops, Coco Pops, and Crunchy Nut, among others.

At Kellanova, we are committed to Equity, Diversity, and Inclusion (ED&I), uplifting each other and embracing our differences to achieve our common goals. Our focus on ED&I enables us to build a culture where all employees are inspired to share their passion, talents, ideas, and can bring their authentic selves to work. Learn more here

We’re proud to offer industry competitive Total Health benefits (Physical, Financial, Emotional, and Social) that vary depending on region and type of role. Be sure to ask your recruiter for more information!

The Finer Print

Kellanova is an Equal Opportunity Employer that strives to provide an inclusive work environment, a seat for everyone at the table, and embraces the diverse talent of its people. 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 regarding our efforts to advance Equity, Diversity & Inclusion, please visit our website here. #LI-Hybrid

Ready to Taste the Future of Food?

-Kellanova Recruitment Company information

At Kellanova, our vision is to be the world’s best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people.Powered by our strategy to Differentiate, Drive & Deliver, we are a leading company in global snacking, international cereal and noodles, and North America frozen foods, with iconic, world-class brands and strong underlying growth momentum and profitability.Our purpose is to create better days and a place at the table for everyone through our trusted foods brands. As part of this purpose, we are committed to advancing sustainable & equitable access to food by creating Better Days for 4 billion people by the end of 2030.

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