WHAT YOU’LL DO: 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 to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions. In this role, you will: collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature 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 love to collaborate, coach and learn with a growing team of experienced Data Scientists stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s 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 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 and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.  

Job Summary Apply expertise in machine learning and natural language processing to develop cutting-edge language learning and assessment products and solutions. Responsibilities* Apply natural language processing/machine learning/deep learning methods to investigate and develop features and solutions for language learning and assessment products. Collaborate with cross-functional teams on prototyping, evaluation, operationalization, and continuous improvement of language learning and assessment products and solutions. Design, create, clean, annotate, and manage rich data sets for natural language processing/machine learning/deep learning analysis. Document, present, publish, and educate on the results of research and development work to internal and external specialist and non-specialist audiences. Monitor and assess new technologies and their potential for new products and services. Other contributions commensurate with level and experience (e.g. service on committees, coordination with external consultants, etc.) Required Qualifications* MS in computer science or related field, or equivalent expertise in natural language processing/machine learning. Proficiency in a programming language such as R or Python. Proficiency in use of machine learning/deep learning tools such as TensorFlow, Keras. Problem solving, flexibility, and ability to deal with ambiguity. Ability to communicate well with and present to a variety of audiences, particularly of technical concepts to non-technical colleagues and stakeholders. Ability to work independently and collaboratively on multiple projects. Five years of experience in natural language processing/machine learning. Desired Qualifications* PhD in computer science or related field. Experience in implementation of machine learning in commercial products. Experience in working with data from (English) language learners. Additional Information For additional information please visit our website.