Lead Data Scientist

4 weeks ago


Bloomingdale IL United States Kellanova Full time
Job Responsibilities
  • Utilize robust technical expertise to drive innovation, proposing and experimenting with cutting-edge initiatives.
  • Play a pivotal role in data science, helping the business prioritize directions and applying a range of pre-modelling and post-modelling techniques.
  • Comfortably navigate descriptive and advanced predictive techniques, employing experimental design to positively impact critical business decisions.
  • Stakeholder Collaboration - Collaborate closely with business subject matter experts to gain insights into their perspectives.
  • Conduct proof-of-concept model pilots using diverse structured and unstructured datasets.
  • Engage in an iterative process to validate findings with stakeholders, ensuring the development of purposeful advanced modelling methods.
  • Effectively articulate rationales, especially when findings challenge existing beliefs within the business.
  • Data Analysis and Reporting - Analyze extensive and noisy datasets to identify meaningful patterns, providing actionable insights for the business.
  • Navigate challenges related to data availability by leveraging both internal and external data sources.
  • Ensure timely communication of insights to stakeholders, especially crucial when integrating new data collection processes to meet project timelines.
  • Training and Mentorship - Design and deliver end-user training for models or tools developed.
  • Provide guidance and problem-solving assistance to junior team members, fostering a collaborative and knowledge-sharing environment.
Minimum Requirements
  • Master’s degree in computer science, Statistics, Mathematics, operations research, or related fields.
  • A minimum of three years' experience applying data science/statistical techniques to solve business problems, preferably within a consumer-centric organization.
  • Hands-on experience in one or more programming languages (Python, R).
  • Proficient in 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.
  • Offered technical expertise and support on projects, collaborating with external vendors and providing valuable inputs to advance project approaches.

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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