Marketing Sr. Data Scientist

  • General Mills
  • Minneapolis, MN, USA
  • Nov 26, 2019
Full-time Big Data Computer Science Data Science Digital Media Hadoop Machine Learning Marketing Python R SQL

Job Description


In order to make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions.

In this role, you will:

  • Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools
  • Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space
  • Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems
  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
  • Engineer new features by using your business acumen to find new ways to combine disparate data sources
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists
  • Stay connected with external sources of ideas through conferences and community engagements


  • Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience in a consumer, marketing, or media related role
  • Must have Python or R proficiency working with DataFrames
  • Must have proficiency writing complex SQL queries
  • Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
  • Exceptional communication & collaboration skills to understand business partner needs & deliver solutions
  • Bias for action, with ability to deliver outstanding results through task prioritization & time management


  • Experience with Big Data technologies — Hadoop, Spark,, Cloud AI platforms, containerization
  • Experience with supporting deployment, monitoring, maintenance and enhancement of models
  • Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
  • Experience in digital marketing environment e.g. ad servers, web analytics, bid management
  • Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization
  • Experience working in business to consumer marketing
  • Experience using data to tell a story and influence business decision makers