Data Scientist

General Mills, Inc
Minneapolis, Minnesota, US
$113.3K-$132.6K a year
Full-time
We are sorry. The job offer you are looking for is no longer available.

Job Description

Employer : General Mills, Inc.

You could be just the right applicant for this job Read all associated information and make sure to apply.

Job Title : Data Scientist (multiple positions)

Job Requisition : #30440 20330.361.4

Job Location : 1 General Mills Blvd, Minneapolis, MN 55426

Job Type : Full Time

Rate of Pay : $113,300.00 - $132,600 per year

Duties :

  • Develop novel ways to help business partners achieve objectives through analysis and modelling.
  • Identify and test new sources of information that unlock new business value.
  • Curate and connect external data sets for broad enterprise-wide analytic usage.
  • Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results.
  • Utilize machine learning to create repeatable, dynamic, and scalable models.
  • Advocate and educate on the value and importance of data driven decision making and analytical methods.
  • Identify and develop long-term data science processes, frameworks, tools, and standards.

Requirements :

Employer will accept a master's degree in data science, Computer Science, Engineering, Math or Statistics or related field and one (1) year of experience in the job offered or in a related position in the Consumer Packaged Goods industry.

Position requires one (1) year of experience in the following :

  • Statistical analysis, machine learning, modeling, hypothesis testing, clustering, and data mining techniques to identify trends and insights.
  • Python, R (Rshiny, dataframes, GGplot, Distributed Computing), Github and Tableau.
  • Incorporating multiple data sources in analyses (HDFS, file, database, JSON, HTML, etc).
  • Writing SQL queries.
  • Loading data into GCP, doing data transformations with BigQuery and building models using vertex AI.
  • Working with CPG data from sources like Nielsen and IRI.
  • Collaborating with cross-functional teams to integrate and implement data-driven solutions.
  • Merging and transforming disparate internal & external data sets together to create new features.

Background check and drug testing required.

Contact : Apply online at https : / / careers.generalmills.com / careers / . Please refer to job requisition number- #30440 20330.361.4

The salary range for this position is $113,300.00 - $132,600 per year. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences, performance, and skills for their current role.

The salary range for this role represents the numerous factors considered in the hiring decision including, but not limited to, education, skills, work experience, certifications, etc.

Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being.

J-18808-Ljbffr

8 days ago
Related jobs
Promoted
University of Minnesota
Saint Paul, Minnesota

The Institute for Health Informatics (IHI) in the University of Minnesota is seeking a scientific Programmer/Data Scientist to join Dr. Construct datasets from various data sources for research. Design and implement data processing and analysis infrastructure; Ensure the integrity and security of da...

Brooksource
St. Louis Park, Minnesota

Data Collection and Management: Collaborate with data analysts to collect, manage, and preprocess large healthcare datasets, ensuring data quality and accuracy for research and predictive modeling purposes. Senior Healthcare Data Scientist. As a Senior Data Scientist specializing in value-based heal...

Cargill
Wayzata, Minnesota

Cargill, Incorporated seeks a full-time Senior Data Scientist - Operations Research based in Wayzata, MN to lead discussions with client domain experts, ops teams & other ops research engineers to gain direct insight on complex facility & process questions regarding material flow, personnel flow, ut...

Federal Reserve System
Minneapolis, Minnesota

Assists with deploying data mining techniques to refine models that optimize decisions and improve scalable and reusable data mining solutions and capabilities that support the FedNow fraud program. As a member of the FedNow Fraud Protection team, you will participate in statistical and mathematical...

IMCS Group
Minneapolis, Minnesota

Master’s degree or higher, that has aquantitative focus such as applied mathematics, statistics, engineering,physics, accounting, finance, economics, econometrics, computer sciences, orbusiness/social and behavioral sciences with a quantitative emphasis.Get inspired by multicultural teams distribute...

SynergisticIT
Saint Paul, Minnesota

Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. We regularly interact with the Top Tech companies to give our candidates a competitive advantage see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at G...

Cynet Systems
Minneapolis, Minnesota
Remote

At least 5 years of experience in software development and data engineering, with a proven track record in data warehouse management. In-depth knowledge of Snowflake, data lakes, and other data warehousing technologies. Demonstrated experience in architecting full-stack applications for Business Int...

SynergisticIT
Saint Paul, Minnesota
Remote

Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and ...

LexisNexis Risk Solutions
Minneapolis, Minnesota

Data, Research & AnalyticsData Scientist III. Are you looking to develop your Data Scientist experience?Do you love collaborating with teams to solve complex problems and deliver solutions?. The Data Scientist III will be joining the Information Hub which is part of the broader LexisNexis Risk S...

Xcel Energy
Minneapolis, Minnesota

Champion the acquisition of new data sources to enhance value and fill gaps; automate collection processes; effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets; collaborate with business stakeholders as needed to ensure solid data understandin...