General Mills

Sr. Data Scientist

General Mills

Minneapolis, MN, USA
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

We’re looking for an analytical and creative thinker to join our team as a Sr. Data Scientist at General Mills. In this role, you will be responsible for developing, testing, and implementing data-driven solutions to help us make informed decisions and drive our business forward.The ideal candidate for this position will have a passion for data and a proven track record of success working with complex datasets, predictive analytics models, and statistical techniques. In addition to strong technical capabilities, we’re looking for a leader who can communicate effectively with all levels of our organization.Required Qualifications:• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field• 5+ years of experience working with large datasets and predictive analytics models• Expertise in statistical techniques such as linear and logistic regression, decision trees, clustering, and other machine learning approaches• Proficiency in programming languages such as Python and R• Strong written and verbal communication skills• Ability to work independently and as part of a teamIf you’re a data-driven professional passionate about using data to solve business problems, we want to hear from you!

Responsibilities:

  1. Develop, test, and implement data-driven solutions to help drive the business forward.
  2. Utilize complex datasets, predictive analytics models, and statistical techniques to make informed decisions.
  3. Monitor trends, analyze data, and identify opportunities for improvement.
  4. Keep up-to-date with new technologies and data science best practices.
  5. Communicate effectively with all levels of the organization.
  6. Work independently and as part of a team.
  7. Develop and maintain documentation related to data science processes and projects.
  8. Collaborate with stakeholders to define and refine data-driven solutions.
  9. Develop and maintain data pipelines and infrastructure.
  10. Monitor the performance of data-driven models and suggest improvements.
Where is this job?
This job is located at Minneapolis, MN, USA
Job Qualifications
  • Excellent Communication And Presentation Skills

  • Strong Analytical And Problem Solving Skills

  • Mathematics

  • Advanced Degree In Statistics

  • Computer Science Or Related Field

  • Proven Experience In Data Mining

  • Predictive Modeling

  • Machine Learning

  • Statistical Modeling

  • Deep Learning

  • And Natural Language Processing

  • Proficiency In Python

  • R

  • And/Or Sql

  • Experience In Building Data Pipelines And Etl Processes

  • Knowledge Of Data Visualization Tools Such As Tableau

Required Skills
  • Sql

  • Python

  • statistical analysis

  • Big Data

  • R

  • Machine Learning

  • Reporting

  • Data Visualization

  • Data Mining

  • Modeling

  • Predictive analysis

  • Data wrangling

  • AI/ML

  • Algorithm Building

  • Exploratory Analysis

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Negotiation

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Sr. Data Scientist in Minneapolis, MN, USA is $120k to $195k per year. This range can vary depending on the company, experience, and other factors.

Additional Information
General Mills is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 29th, 2023
Apply BeforeMay 22nd, 2025
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About General Mills

General Mills operates grocery stores, mass merchandisers, membership stores, natural food chains, and drug, dollar and discount chains, and offers products in more than 100 markets around the world. Products include cereals, yogurt, snack bars, soup, dry dinners, frozen vegetables, refrigerated and frozen dough products, dessert and baking mixes, frozen pizza and pizza snacks, fruit snacks, savory snacks, pet food, and a wide variety of organic foods across categories.

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