Sr. R&D Statistical Scientist (Statistician) - Golden Valley, MN

General Mills, Inc; Minneapolis (MN); On-site; USD 111,000 - 185,000; Full time

Job summary

General Mills is seeking a Sr. R&D Statistical Scientist (Statistician) to join the Data Science & Modeling team within ITQ.

The role blends statistics, mathematics, modeling, and technology to transform data into actionable insights that drive product development, consumer testing, nutrition research, and product quality. The ideal candidate collaborates with business partners, teaches and mentors peers across a global team, and develops models using Python, R, and SQL with cloud-based

Qualifications

• PhD required in statistics or biostatistics or a related field.
• 3+ years of work experience in a statistical scientist/ statistician role.
• Strong communication and collaboration skills, in-person and virtual.
• Experience turning data into advanced analytic solutions and providing actionable insights.

Responsibilities

• Work with R&D teams to solve problems using data across product development, quality, nutrition, and market research.
• Provide statistical consultation in experimental design and analysis to scientists and engineers.
• Train, mentor, and coach other statisticians in our global team on technical skills and consultative excellence.
• Translate and summarize complex analyses into actionable insights and recommendations that influence business decisions.
• Develop statistical and machine learning models with Python, R, or other languages and tools; scale analytics on Google Cloud Platform.
• Build and deploy analytics solutions to internal stakeholders with data pipelines that drive data-driven decisions.

Education

Ph.D. in Statistics or Biostatistics or relevant field

Tools

SQL scripting

BigQuery

Oracle

R

Python

Git

Job description

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 another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

JOB OVERVIEW:

General Mills is seeking a Sr. R&D Statistical Scientist (Statistician) 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 statistician 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 R&D teams and internal stakeholders 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 statistical 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, statistician, statistical analyst role or related position
• Demonstrated ability to define problems and deliver solutions proactively against business or technical challenges.
• Strong communication skills, with the ability to collaborate and build relationships in-person and virtually.
• Strong attitude for teaching and coaching of cross-functional partners, internal team members, and project stakeholders.
• 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 BigQuery and Oracle.
• Experience with R and Python analytics programming languages and with source code repositories such as Git.

PREFERRED QUALIFICATIONS:

• Work experience in food and beverage, nutrition, healthcare, or medical device applications
• Experience working within a global team.
• Familiarity with a cloud enterprise data and computing platform (GCP, AWS, Azure).
• Experience working in an R&D or scientific organization
• Experience with partnering to bring statistics to 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

SALARY RANGE

The salary range for this position is:

$110,800 - $184,800 Annual

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.

ELIGIBILITY

Applicants must meet a minimum 18-year age qualification.

EQUAL OPPORTUNITY EMPLOYER (EOE)

General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.

REASONABLE ACCOMMODATION REQUEST

If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.