Lead Data Scientist

Battle Creek, MI, US, 49016

Join our dynamic, progressive team of IT professionals as a Lead Data Scientist!  Become an integral member of a team of data scientists, unearthing new insights that the business can action against to drive value.  We will look to you to build trustworthiness in your decision models.  This position is a hybrid role and can be located in the Battle Creek, MI or Chicago/Naperville, Illinois areas.

 

On the Kellanova North America (KNA) IT Data and Analytics team, we focus on agility, growth, and innovation. We aim to enhance decision-making capabilities, maximizing growth potential for our trusted food brands.

 

A Taste of What You’ll Be Doing

 

  • Advance Business Decision-Making – Enhance business decision-making by improving existing predictive models in commercial and supply chain areas.  Leverage technical expertise to propose and experiment with innovative initiatives.  Play a key role in data science, applying pre- and post-modeling techniques effectively and employing experimental design to impact critical business decisions.
  • Stakeholder Collaboration – Collaborate with business experts, conduct model pilots using diverse datasets, validate findings iteratively with stakeholders, and develop purposeful advanced modeling methods.  Articulate rationales, even when challenging existing beliefs.
  • Data Analysis and Reporting – Analyze noisy datasets to identify meaningful patters, leveraging both internal and external data sources.  Communicate insights promptly to stakeholders, particularly when integrating new data collection processes for project timelines.
  • Training and Mentorship - Design and deliver end-user training for developed models or tools. Provide guidance and problem-solving assistance to junior team members, fostering a collaborative and knowledge-sharing environment.

 

We’re Looking for Someone With

 

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or equivalent work experience
  • Hands-on experience in one or more programming/query languages (Python, R, SQL)
  • Proven commercial experience in applying machine learning techniques and statistical modeling
  • Effective communication skills, showcasing the ability to articulate complex concepts to a non-technical audience
  • Project management experience

 

What’s Next


After you apply, your application will be reviewed by a real recruiter, so it may take us a few weeks to get back with you by email or phone. Visit our How We Hire page to get insights into our hiring process and more about what we offer.

 

Need assistance throughout the application or hiring process? Email USA.Recruitment@Kellanova.com.

 

If you join our team, you’ll be rewarded for the difference you make. Our comprehensive benefits offer you the support you need through your life events, big or small. Visit our benefits page & be sure to ask your recruiter for more specific 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 of iconic, world-class brands include Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Crunchy Nut, among others.

 

Kellanova’s Culture of Best means we bring our best to all that we do in pursuit of our vision to be the world’s best performing snacks-led powerhouse. Our culture celebrates boldness and empowers our people to challenge the status quo, achieve results, and win together.

 

Our focus on Equity, Diversity, and Inclusion (ED&I) enables us to build a culture of belonging where all employees have a place at the table and are inspired to share their passion, talents and ideas to work.

 

The best brands. The best people. The best you.

 

Estimated travel is 10% but may vary depending on location of residency.

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.   

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Data analysis Machine Learning Mathematics Python R SQL Statistical modeling Statistics

Perks/benefits: Career development Equity / stock options Team events

Region: North America
Country: United States
Job stats:  2  1  0

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