Senior Data Scientist

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.