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
-
3+ 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 in 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:
-
Our Total Rewards Benefits Program
-
Our Thriving Together Philosophy Supporting All Impacted by Our Business
-
Our Continued Progress on Inclusion, Diversity and Equity
Follow us on LinkedIn®
#LI-CM1
Top Skills
What We Do
Each generation of consumers leaves their mark on culture by establishing new expectations for food and the companies that make it. At The J.M. Smucker Co., it is our privilege to be at the heart of this dynamic with a portfolio that appeals to each generation of people and pets with products found in 90 percent of U.S. homes and countless restaurants. This includes a mix of iconic brands consumers have always loved such as Folgers®, Jif® and Milk-Bone® and new favorites like Café Bustelo®, Smucker’s® Uncrustables® and Rachael Ray® Nutrish®. By continuing to immerse ourselves in consumer and pet parent preferences for food, how it’s purchased and how the companies that make it should operate, we will maintain the important role we play in their lives. This will allow us to continue growing our business and the positive impact we have on all of those who count on us.
 PNG file.png)
