Overview & Responsibilities

OVERVIEW

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

KEY RESPONSIBILITIES

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 making, focusing on the "how and why" of solving problems
• Develop 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 Data Scientists
• Stay connected with external sources of ideas through conferences and community engagements
• Collaborate with development and infrastructure teams to advance and deploy solutions
• Provide guidance and support to entry level data scientists

Qualifications

MINIMUM QUALIFICATIONS

• Bachelor's in Data Science, Computer Science, Engineering, or Statistics and 3+ years' experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set
• 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
• Ability to ask critical questions about data, results, and business value
• Bias for action, with ability to deliver outstanding results through task prioritization & time management

PREFERRED QUALIFICATIONS

• 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.
• Experience using data to tell a story and influence business decision makers

#dice