Global Consumer Insights Lead Data Scientist

Job Number: 11890
Location(s): Minneapolis, MN

Overview & Responsibilities

General Mills is seeking a Lead Data Scientist to work on our Global Consumer Insights (GCI) Marketing Analytics & Insights team. This team’s role is to provide analytics and statistical analyses that enable the business teams to better understand data, insights and potential actions related to business questions.

 

As the Lead Data Scientist, you will play a key role in building out the team’s machine learning and artificial intelligence capabilities. We are looking for an exceptional person who has an entrepreneurial spirit and is passionate about data science (Machine Learning, Optimization, Decision Trees, Neural Networks, Natural Language Processing, Transfer Learning, Deep Learning, etc.) As part of the Marketing Analytics & Insights team, you will apply analytical rigor, critical thinking, and creativity to solve complex issues while working with business teams.

 

A typical workflow for our area includes taking a business question, developing an analysis plan to answer that question, executing that plan and developing a compelling story for our end business user so they take action on the insight. A successful candidate will have the right blend of computer programming, statistical knowledge, business acumen and storytelling. 

 

MAIN RESPONSIBILITIES

  • Develop machine learning and other AI models with Python, R, or other languages and tools
  • Utilize Natural Language Processing and other analytic techniques to extract useful information from both unstructured and structured data
  • Mentor fellow data scientists to deliver across multiple data science projects
  • Scale analytics solutions to Big Data with Hadoop, Spark/PySpark and other Big Data tools
  • Responsible for performing highly complex activities related to creation, implementation, documentation and validation of complex models to quantify, analyze and predict the needs of our consumers.
  • Translating and summarizing complex analysis into understandable, actionable insights and recommendations that directly drive business strategy
  • Collaborate with others within the Global Consumer Insights function, serving as an analytic consultant
  • Effectively communicate results to all levels of the organization to influence business decisions
Qualifications
  • Master’s Degree in Computer Science, Statistics, Applied Mathematics or related field
  • 5+ practical experience with data processing, database programming and data analytics
  • Deep experience working with relational databases (Oracle, SQL) and Hadoop, comfortable in data manipulation on large data sets. Able to understand various data structures and common method in data transformation
  • Excellent pattern recognition and predictive modeling skills
  • Proficient with R, Python and SQL scripting languages
  • Experience working in a global team and remote team members
  • Able to analyze problems and strategize better solutions
  • Excellent verbal and written communication skills

The General Mills Marketing Analytics & Insights team works in a fast-paced environment where our success is fueled by the talents of our team. What makes someone well-suited for this role and drives success?

  • Analytical experience: Highly proficient in working with data frameworks (e.g. Hadoop) and data analytics tools
  • Can interpret “signals”: Pattern recognition is a key skill in analyzing complex datasets. An ability to identify “signals through the noise” is key
  • Curiosity: Demonstrates creative thinking while looking across consumer behaviors to identify opportunities and new insights
  • Agility: Adaptable to changing team needs and requests for information and intelligence

#cb

Overview & Responsibilities

General Mills is seeking a Lead Data Scientist to work on our Global Consumer Insights (GCI) Marketing Analytics & Insights team. This team’s role is to provide analytics and statistical analyses that enable the business teams to better understand data, insights and potential actions related to business questions.

 

As the Lead Data Scientist, you will play a key role in building out the team’s machine learning and artificial intelligence capabilities. We are looking for an exceptional person who has an entrepreneurial spirit and is passionate about data science (Machine Learning, Optimization, Decision Trees, Neural Networks, Natural Language Processing, Transfer Learning, Deep Learning, etc.) As part of the Marketing Analytics & Insights team, you will apply analytical rigor, critical thinking, and creativity to solve complex issues while working with business teams.

 

A typical workflow for our area includes taking a business question, developing an analysis plan to answer that question, executing that plan and developing a compelling story for our end business user so they take action on the insight. A successful candidate will have the right blend of computer programming, statistical knowledge, business acumen and storytelling. 

 

MAIN RESPONSIBILITIES

  • Develop machine learning and other AI models with Python, R, or other languages and tools
  • Utilize Natural Language Processing and other analytic techniques to extract useful information from both unstructured and structured data
  • Mentor fellow data scientists to deliver across multiple data science projects
  • Scale analytics solutions to Big Data with Hadoop, Spark/PySpark and other Big Data tools
  • Responsible for performing highly complex activities related to creation, implementation, documentation and validation of complex models to quantify, analyze and predict the needs of our consumers.
  • Translating and summarizing complex analysis into understandable, actionable insights and recommendations that directly drive business strategy
  • Collaborate with others within the Global Consumer Insights function, serving as an analytic consultant
  • Effectively communicate results to all levels of the organization to influence business decisions

Qualifications

  • Master’s Degree in Computer Science, Statistics, Applied Mathematics or related field
  • 5+ practical experience with data processing, database programming and data analytics
  • Deep experience working with relational databases (Oracle, SQL) and Hadoop, comfortable in data manipulation on large data sets. Able to understand various data structures and common method in data transformation
  • Excellent pattern recognition and predictive modeling skills
  • Proficient with R, Python and SQL scripting languages
  • Experience working in a global team and remote team members
  • Able to analyze problems and strategize better solutions
  • Excellent verbal and written communication skills

The General Mills Marketing Analytics & Insights team works in a fast-paced environment where our success is fueled by the talents of our team. What makes someone well-suited for this role and drives success?

  • Analytical experience: Highly proficient in working with data frameworks (e.g. Hadoop) and data analytics tools
  • Can interpret “signals”: Pattern recognition is a key skill in analyzing complex datasets. An ability to identify “signals through the noise” is key
  • Curiosity: Demonstrates creative thinking while looking across consumer behaviors to identify opportunities and new insights
  • Agility: Adaptable to changing team needs and requests for information and intelligence

#cb

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