Data Scientist

We serve the world by making food people love. As one of the world’s leading food companies, General Mills believes that food should make us better. Food brings us joy and nourishes our lives, connecting us to each other and the earth. General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Häagen-Dazs, Nature Valley, Betty Crocker, Pillsbury, Annie’s, Lara Bar, Yoplait and more.

General Mills is seeking a Data Scientist to join a new data science team in the Global Business Solutions (shared services organization) that is tasked with collaborating with and enabling existing functional data science and analytics teams. This team also provides data science expertise and services to advance initiatives around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.

* Develop novel ways to help business partners achieve objectives through analysis & modelling * Think outside the box to identify & test new sources of information that unlock new business value * Curate and connect external data sets for broad enterprise-wide analytic usage * Be a storyteller to explain the ‘why & how’ of your data driven recommendations to cross-functional teams * Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results * Utilize machine learning to create repeatable, dynamic & scalable models * Have passion to advocate and educate on the value and importance of data driven decision making & analytical methods * Identify and develop long-term data science processes, frameworks, tools, and standards * Be a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists

* Bachelor’s Degree required; Data Science, Computer Science, Engineering, Math, or Statistics preferred * 6+ years of experience with at least 2 years of relevant experience in Data Science * Comfortable in basic statistical analysis, modeling, clustering and data mining techniques to identify trends and insights * Experience with Python & R, comfortable working with DataFrames * Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc) * Experience writing complex SQL queries * Understanding of data warehousing & databases is critical * Experience with data visualization tools * Number sense, ability to identify questionable data, dig in & address it * Experience with machine learning a plus * Mathematical & statistical background a plus * Experience with Hadoop, Hive, and/or Spark a plus * Exemplary organizational skills with attention to detail & accuracy * Bias for action with ability to deliver outstanding results through task prioritization & time management * Strong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs