Sr R&D Statistical Data Scientist - Minneapolis, MN

  • Golden Valley, MN
  • Posted 12 hours ago | Updated 12 hours ago

Overview

On Site
USD 106,800.00 - 178,100.00 per year
Full Time

Skills

Innovation
Testing
Research
Data Science
Business Acumen
Product Development
Manufacturing
Science
Market Research
Mentorship
Machine Learning (ML)
Big Data
Open Source
Decision-making
Biostatistics
Communication
Collaboration
Teaching
Coaching
Mathematics
Statistics
Modeling
Business Analysis
Analytical Skill
SQL
Scripting
Relational Databases
Oracle
R
Python
Analytics
Programming Languages
Git
Health Care
Medical Devices
Cloud Computing
Google Cloud Platform
Google Cloud
Amazon Web Services
Microsoft Azure
Research and Development
SAP BASIS
eXist
Recruiting
Finance

Job Details

General Mills is seeking a Statistical Data Scientist to join the Data Science & Modeling team within the Innovation, Technology, and Quality (ITQ) function. The ITQ function is the center of science innovation, product development, and quality activities for the company.

In this role, you will be a key player on a team that is solving business problems in product development, consumer testing, nutrition research, and product quality within a data-rich science and engineering environment. You will have the opportunity to blend statistics, mathematics, modeling, and technology to transform data into actionable insights that drive business results.

We are looking for an exceptional statistical scientist who is passionate about engaging with our business partners and providing actionable, data-driven insights for decision making. This individual should also have a passion for teaching, and will serve as a trainer and coach for other statisticians across our global team.

You will join a successful, multi-talented, functional analytics team and collaborate with partners inside and outside General Mills to further the growth and impact of data science on our business. A successful candidate will have the right blend of technical skills, business acumen, influential storytelling, and collaborative spirit.

KEY ACCOUNTABILITIES
  • Work with teams to solve a wide range of problems using data. This includes an emphasis on product development, quality in manufacturing, nutrition science, consumer and market research, and other scientific domains of ITQ.
  • Provide excellent statistics consultation in experimental and study design and analysis to scientists and engineers with appropriate methodologies.
  • Train, mentor, and coach other statisticians in our global team on foundational technical skills and consultative excellence.
  • Translate and summarize complex analyses into actionable insights and recommendations that directly solve problems and influence business decisions.
  • Develop statistical and machine learning models with Python, R, or other languages and tools. You will have the opportunity to scale analytics solutions for big data using Google Cloud Platform, working with a wide range of open-source tools.
  • Build and deploy analytics solutions to internal stakeholders with local or cloud-based data pipelines that drive data-driven decision making across the organization

MINIMUM QUALIFICATIONS
  • Ph.D. in Statistics or Biostatistics or relevant field
  • 3+ years of work experience in a statistical scientist or statistical analyst role or related position
  • Demonstrated ability to define problems and deliver solutions proactively against business or technical challenges.
  • Good communication skills, with the ability to collaborate and build relationships in-person and virtually.
  • Teaching aptitude and strong coaching mindset.
  • Experience in using mathematics, statistics, modeling, business analysis, and technology to transform data into advanced analytic solutions
  • Proficiency in SQL scripting languages, and experience with relational databases such as Big Query and Oracle.
  • Experience with a R and Python analytics programming languages and with source code repositories such as Git.

PREFERRED QUALIFICATIONS
  • Work experience in nutrition, healthcare, or medical device applications
  • Experience working within a global team.
  • Familiarity with a cloud enterprise data and computing platform (Google Cloud Platform, AWS, Azure).
  • Experience working with in an R&D or scientific organization
  • Experience with food industry applications

ADDITIONAL CONSIDERATIONS
  • International relocation or international remote working arrangements (outside of the US) will not be considered
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis.
  • General Mills will not sponsor applicants for this position for work visas

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

Salary Range

The salary range for this position is $106800.00 - $178100.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.