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General Mills is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best—bold thinkers with big hearts who challenge one another and grow together. We bring together remarkable people, bonded over our |
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.
Partial telecommuting benefits available.
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
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.
Partial telecommuting benefits available.
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
