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Senior Data Scientist Job in Orrville, Ohio US

Senior Data Scientist

The J.M. Smucker Company - Orrville, OH

Posted: 12/22/2025 - Expires: 3/22/2026

Job ID: 293024112

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Job Description

Your Opportunity as the Senior Data Scientist

As a Senior Data Scientist, you will partner with internal stakeholders to better understand their business needs, and will be responsible for dissecting business problems, proposing quantitative solutions, analyzing business partners' needs, and developing data driven solutions to improve and achieve business objectives.

Location: Working Remote USA

In this role you will:

Build advanced quantitative / statistical / machine learning algorithms and perform analyses on a variety of datasets to identify trends, patterns, correlation / causations and predict future business outcomes

Build and deploy prototype solutions to showcase ideas and proof of concepts and transition these prototype products to production according to company standards

Perform validation, testing, and documentation of newly developed predictive models. Assist in maintaining existing models and data product

Facilitate conversations and effectively communicate with team members and business partners. Involve others in decision making and take input from others when making complex decisions

Responsible for advancing relevant, informative, and user-friendly insights to help inform and influence strategic decisions across all our businesses

Become a subject matter expert and trusted adviser in data science

Mentor junior team members and foster an environment of learning and inclusion.

The Right Place for You

We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.

What we are looking for:

Minimum Requirements:

Bachelor's degree in Computer Science, Math, Statistics, Engineering, or relevant field

2+ years of hands-on experience developing and applying Statistical/ML predictive methods

Proven experience conveying the results of complex analyses in a clear and concise manner to stakeholders

Deep understanding of statistical and machine learning approaches (both supervised and unsupervised) and application to business problems

Well versed in R and/or Python, with a deep understanding of relational data structures and SQL

Familiarity with Git for source control management

Experience in processing large volumes of structured and unstructured data

Additional skills and experience that we think would make someone successful in this role (not required):

Master's degree

Experience processing large volumes of structured and unstructured data related to syndicated and POS data sources

Familiarity with BI / visualization tools (Tibco Spotfire, Power BI, Tableau)

Experience with cloud computing platforms (GCP, AWS, Azure)

Experience with visualization frameworks & web development concepts (JS, HTML, CSS)

Familiarity with Consumer-Packaged Goods (CPG) and Retail

Learn more about working at Smucker:

Helping our Employees Thrive

Delivering on Our Purpose

Our Continued Commitment to Ensuring a Workplace for All

Follow us on LinkedIn

The J. M. Smucker Company (the “Company”) is an Equal Opportunity Employer. No person will be discriminated against in hiring or in any other aspect of their employment on the basis of race, color, religion, sex (including pregnancy), age, national origin, ancestry, citizenship status, sexual orientation, gender identity or expression, transgender status, marital status, familial status, disability, genetic information, protected veteran/military status, or any other characteristic protected by applicable federal, state or local law.

Job Summary

Employment Type:
Full Time Employee
Job type:
Federal Contractor
Skill Based Partner:
No
Education Level:
Bachelor's degree
Work Days:
Mon, Tue, Wed, Thu, Fri
Job Reference Code
85800506
Salary
N/A
Licenses / Certifications:
N/A
Display Recommended WorkKeys®Recommended WorkKeys®:
Applied Math: 5
Graphic Literacy: 5

Workplace Documentation: 5