Quality Systems Data Scientist

Schreiber Foods, Inc.; Green Bay (WI); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

ESOP from day one

8% 401(k) ESOP match

Company retirement contribution ~16%

Bonus incentive pay twice a year

Relocation bonus $10,000

Relocation package >50 miles

Childcare assistance up to $5,000/year

Wellness incentive

Lifestyle Spending Account (LSA)

Tuition reimbursement

Medical, dental, vision benefits from

Job summary

Schreiber Foods, Inc. is seeking a Quality Systems Data Scientist to deliver advanced analytics across global quality and food safety teams. You will build predictive models, analyze large datasets, and collaborate with analytics and engineering teams to enable data-driven decisions.

The role is hybrid in Green Bay, WI with relocation support and a strong emphasis on continuous improvement and data governance. You’ll mentor citizen data scientists and shape analytics strategy.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics or related field.
• 2+ years IT, manufacturing or quality systems experience.
• Strong analytical ability with problem-solving focus.
• Ability to work independently and in a team.
• Proficiency in Python or R and ML libraries; data visualization with Power BI.
• Experience with Azure Databricks, Data Factory, and Informatica ETL.

Responsibilities

• Define challenges with stakeholders and integrate data into models and tools.
• Conduct data analysis to uncover trends and insights.
• Develop predictive and prescriptive models on Azure Databricks.
• Collaborate to present findings with Power BI to stakeholders.
• Coach and develop a team of citizen Data Scientists.
• Work with Solutions Architects to integrate Informatica ETL with Data Factory.
• Transform and cleanse data to ensure quality in the data lake.
• Apply ML and statistics to solve business problems and improve decisions.
• Stay updated on data science advances and suggest innovations.

Skills

Analytical thinking

Problem solving

Independent worker

Team collaboration

Strong communication

Education

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics or related field

Tools

Python

R

Pandas

NumPy

SciPy

scikit-learn

Azure Databricks

Azure Data Factory

Power BI

Informatica

Job description

## Quality Systems Data ScientistApply: Green Bay, WI: Full time: Posted Today: R0038375# **Job Category:**Business Analytics & Data Science# **Job Family:**Data & Analytics# **Job Description:****Quality Systems Data Scientist** will work across with our global Enterprise Quality and Food Safety team and business stakeholders to deliver advanced analytics and insights to enhance our quality and food safety systems. This role will work cross functionally to gather, analyze, and interpret large data sets, identify trends and patterns, and help develop predictive models while collaborating closely with our Business Analytics and Insights team to create data-driven solutions to meet business needs and support our organizational data analytics strategy. **Hybrid:** This role offers a flexible hybrid work schedule (Monday-Friday) located at our Home Office in Green Bay, Wisconsin. The hybrid work schedule is 3 days/week onsite at Home Officeand 2 days/week from home.**Relocation Benefits:** Receive a $10,000 relocation bonus PLUS a generous relocation package if relocating more than 50 miles for this position.**About our Green Bay, WI Home Office:**You’ll find lots to love in our beautiful home office in downtown Green Bay, Wisconsin. Our jeans-friendly environment has indoor and outdoor collaboration spaces, state-of-the-art R&D and sensory labs, culinary kitchens, a pilot plant, innovation center and more.Take advantage of outdoor workspaces. Sample and provide feedback on new products from our R&D team. Enjoy free coffee, soda and popcorn. Take a short walk to restaurants, breweries, the YMCA and a weekly farmer’s market on the scenic Fox River. You can even see Lambeau Field from our top floor. **What you'll do:** * Work with key business stakeholders to define current challenges and opportunities and integrate business information and data into appropriate models and tools to support the development of solutions.* Conduct data analysis to uncover trends and insights.* Develop and implement predictive and prescriptive models using advanced statistical and machine learning techniques on Azure's Databricks platform.* Collaborate with team members and utilize data visualization tools such as Microsoft Power BI to present findings and insights to stakeholders in a clear and actionable manner.* Collaborate, coach, and develop team of citizen Data Scientists* Work collaboratively with the Business Analytics and Insights team and support data analytics strategy.* Collaborate closely with Solutions Architects and Data Engineers to ensure seamless integration of Informatica-based ETL processes into Azure's Data Factory.* Transform and cleanse data using Databricks to ensure data accuracy and quality within the data lake.* Apply expertise in machine learning algorithms and statistical techniques to solve complex business problems and optimize decision-making processes.* Learn and work with Schreiber business systems and key Quality Systems processes to support and drive continuous improvement.* Stay updated with the latest advancements in data science, machine learning, and predictive analytics, and proactively suggest innovative solutions for enhancing our data science capabilities.Together with the leadership team, ensures compliance with Food Safety and Food Quality Plans, in addition to customer requirements. Interprets and communicates customer requirements to plant production and/or support groups. Establishes and Audits PCPs, CCPs and Standard Operating Procedures to define and monitor processes, to ensure customer requirements are met. Reviews incidents during which the procedures are not met, and determines appropriate corrective action for partners failing to follow standard procedures. **What you need to succeed:*** Bachelors degree in Data Science, Computer Science, Mathematics, Statistics or related field* 2+ years experience in information technology, manufacturing and quality systems* Strong analytical ability and passion for problem-solving with the ability to translate business needs into solutions.* Ability to work independently as well as in a team environment.* Knowledge of statistical analysis and data modeling techniques.* Proficiency in programming languages such as Python or R, and experience with libraries such as Pandas, NumPy, SciPy, and scikit-learn.* Experience with cloud-based data platforms, preferably Microsoft Azure's Data Factory and Databricks.* Experience with a variety of data analysis tools.* Familiarity with ETL processes and tools, particularly Informatica.* Expertise in data visualization tools such as Microsoft Power BI or similar platforms.* Knowledge of machine learning techniques is a plus.* Ability to travel up to 15%# **Eligible partners will receive:*** **Get not one, but TWO retirement benefits.** When you join our employee-owned company, you’ll be part of our Employee Stock Ownership Plan (ESOP) from day one. In addition to an 8% 401(k) match into the ESOP, Schreiber will contribute an extra amount – about 8% of your earnings – toward your retirement every year. That’s a company contribution of around 16% in retirement savings annually. That’s hard to beat!* **Earn bonus pay.** You’ll have an opportunity to earn incentive pay twice a year when we meet our company goals.* **Ready to make a move?** Receive a $10,000 relocation bonus PLUS a generous relocation package if relocating more than 50 miles for a U.S. Salaried position.* **Childcare costs**. Get up to $5,000 annually to help you with the cost of childcare. Monthly contributions toward childcare expenses, including independent babysitters.* **Earn extra money for taking care of yourself.** Eligible partners can earn a Wellness Incentive and receive an employer‐funded Lifestyle Spending Account (LSA) to use on fitness, mental health, and other lifestyle expenses.* **Pursue development that’s relevant to your role, career goals and the company.** Plus, we offer tuition reimbursement if you want to further your education to grow in your role at Schreiber.* **Get access to medical, prescription drug, dental and vision benefits** starting day one. This includes an onsite nurse and mental health counselor.* **Experience caring like you’ve never experienced it before.** We have a program that’s completely organized by and for other partners who need extra help. It’s called Partners Helping Partners. We have hundreds of examples of partners organizing fundraisers to help out others going through a hard time.* **Benefits that support your whole life.** Visit Schreiber – Care for you to see everything Schreiber offers to support your health, wellbeing, and financial future. Sound like a company you’d like to be a part of? Click **Apply**. Need extra assistance with the application process? Contact [e-mail] or call 920-437-7601. For positions that require any amount of travel: Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required. Schreiber requires that an employee have authorization to work in the country in which the role is based. In the event, an applicant does not have current work authorization, Schreiber will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship. Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.