Published date Posted on Indeed on Oct 04, 2021 (16 d ago)

TITLE

Senior Data Scientist

LOCATION

Working Remote USA

This role is eligible for remote work in the following states: Arizona, Arkansas, California, Colorado, Connecticut, Florida, Hawaii, Kansas, Kentucky, Louisiana, Maine, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nevada, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Dakota, Texas, Utah, Washington, Wisconsin, Wyoming.

REPORTS TO

Manager, Data Science

POSITION SUMMARY

Are you curious by nature? Do you like to dive into data to solve problems with innovative solutions? Are you passionate about uncovering meaningful patterns in data that lead to executable insights and recommendations? Are you looking for a collaborative Data Science team with opportunity for growth? If so, The JM Smucker Co. is looking for you and it’s time to join our team!

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.

  • Build advanced quantitative/Statistical/Machine Learning algorithms and perform analyses on a variety of datasets to identify trends, patterns, correlations/causations and predict future business outcomes.

  • Build and deploy prototype solutions to showcase ideas and proof of concepts.

  • Proactively seek, consolidate inputs, and build effective algorithms.

  • Preform validation and documentation of newly developed predictive models.

  • Become a subject matter expert and trusted adviser in Data Science.

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

  • Mentor junior team members.

Be ready to challenge yourself and continuously improve your Data Science skills by leveraging internal and external development opportunities for your growth.

SELECTION CRITERIA

Education

  • Bachelor’s Degree is required (Statistics, Applied Math, Computer Science, Applied Economics, Econometrics, Psychology, or another relevant field)

  • Master’s Degree preferred (Statistics, Applied Math, Computer Science, Applied Economics, Econometrics, Psychology, or another relevant field)

Experience

  • 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 business stakeholders

  • Deep understanding of Statistical and Machine Learning algorithms to solve real world problems

  • Well versed in R, Python, SAS, or other relevant Statistical/Computer programming languages and relational database language (SQL)

  • Experience in processing large volumes of structured and unstructured data; Syndicated and POS data sources

  • Familiarity with visual tools such as Spotfire/Tableau preferred

  • Experience in distributed/cloud computing and storage (GCP, AWS, Azure, Hadoop, and Spark) preferred

Others

  • Excellent problem-solving skills, critical thinking, and conceptual thinking abilities

  • Continuous improvement mindset

  • Self-motivated and the ability to handle multiple/diverse tasks

  • Strong interpersonal, oral, and written communication skills

  • Ability to work in dynamic environment; create and manage change

  • Ability to travel as needed


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