Quality Systems Data Scientist Job Listing at Schreiber Foods in Green Bay, WI (Job ID R0032384)

Description

Job Category: Global IT Job Family: Global Business Systems Job Description:

The Quality Systems Data Scientist will support the design and continuous improvement of Schreiber's global quality management systems (QMS) through development, management and interpretation of Key Performing Indicators (KPIs) and Metrics for Enterprise Quality and Food Safety.

This role involves enhancing the QMS through continuous improvement techniques, integrated systems, and predictive analytics to reduce risks and boost efficiency. Collaborating with the Enterprise Quality and Food Safety team and business stakeholders, the Data Scientist will analyze large data sets, identify trends, and develop predictive models. Close collaboration with the Agile Fusion and Data Science Teams is essential to create data-driven solutions that meet business needs and support organizational analytics strategies.

This position is located at our home office in Green Bay, Wisconsin. We offer an option to work remotely up to 2 days a week, with at least 3 days being onsite.

What you'll do:

Business Analysis & Solution Development

• Partner with key business stakeholders to identify challenges and opportunities.
• Integrate business information and data into models and tools to support solution development.
• Learn and apply Schreiber business systems and Quality Systems processes to drive continuous improvement.

Data Science & Machine Learning

• Research and develop machine learning applications using structured and unstructured data (e.g., regression, classification, clustering).
• Apply statistical techniques and machine learning algorithms to solve complex business problems and optimize decision-making.
• Develop, test, and validate custom models, algorithms, and simulations using Python, R, and SQL.

Data Engineering & Integration

• Collaborate with Solutions Architects and Data Engineers to integrate Informatica-based ETL processes into Azure Data Factory.
• Transform and cleanse data using Databricks to ensure accuracy and quality within the data lake.
• Conduct data mining and algorithm development to optimize processes.

Analytics & Visualization

• Conduct data analysis to uncover trends and insights.
• Develop predictive and prescriptive models on Azure's Databricks platform.
• Present findings using data visualization tools such as Microsoft Power BI to support stakeholder decision-making.

Quality Systems & Governance

• Define Quality Health Metrics for key QMS processes and systems.
• Support Quality Systems compliance and monitor global KPIs.
• Facilitate feedback loops to ensure QMS meets partner needs and lead continuous improvement initiatives.
• Support QMSDS documentation and training of internal partners.
• Execute and develop validation test scripts.

Collaboration & Project Management

• Work collaboratively with Agile Fusion and Data Science teams to support data analytics strategy.
• Manage multiple projects in a fast-paced, cross-functional environment.
• Collaborate across multiple time zones to ensure effective communication.
• Act as a change agent, facilitating onboarding of new systems and updates to existing ones.

Innovation & Continuous Learning

• Stay current with advancements in data science, machine learning, and predictive analytics.
• Proactively suggest innovative solutions to enhance data science capabilities.

What you need to succeed:

• Bachelors degree in Data Science, Computer Science, Economics, Mathematics, Statistics or related field
• 1+ year of experience in Data Science or related analytics role
• 2+ years of experience in Quality systems, Quality Assurance or Quality Engineering experience preferred
• 2+ years of experience in Information Technology, or Manufacturing
• Proficiency in Python, SQL, Power BI, Databricks, and machine learning techniques (e.g., clustering, classification, regression).
• Strong foundation in data mining, algorithm development, statistical analysis, and performance testing.
• Experience with cloud-based data platforms, preferably Microsoft Azure Data Factory and Databricks.
• Solid understanding of data modeling, predictive analytics, and quality system metrics.
• Familiarity with data engineering and architectural design principles.
• Knowledge of Quality System processes, including Non-Conforming Events, CAPA, Training, Document Control, and Audits.
• Ability to translate complex data into clear, actionable insights for diverse stakeholders.
• Excellent communication and presentation skills, with experience working across global teams and time zones.
• Strong organizational and time management skills; able to manage multiple priorities in a fast-paced environment.
• Demonstrated analytical thinking, problem-solving ability, and a user-centric approach to solution development.
• Collaborative mindset with the ability to work independently and in cross-functional teams.
• Self-motivated, adaptable, and open to feedback; committed to continuous learning and improvement.
• Proven ability to lead by example, drive global standardization, and act as an effective change agent.
• Experience in program management and understanding of regulatory compliance is a plus.
• Ability to travel up to 15%

• 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 $ for focusing on your health. Depending on your medical plan enrollment, earn $1,200 in your HSA or as a cash payout for prevention activities.  Plus, use your $600 lifestyle spending account for reimbursements related to health, fitness, weight management, mental health and social wellness.
• 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.

Sound like a company you'd like to be a part of? Click Apply.

Need extra assistance with the application process? Contact recruiting@schreiberfoods.com 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.

An Equal Opportunity Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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