Quality Systems Data Scientist

Schreiber Foods • Green Bay, WI

23h • Hybrid

About The Position

The Quality Systems Data Scientist works with the global Enterprise Quality and Food Safety team and business stakeholders to deliver advanced analytics and insights that enhance quality and food safety systems. The role gathers, analyzes, and interprets large datasets, identifies trends and patterns, and develops predictive models. It collaborates with the Business Analytics and Insights team to build data-driven solutions that meet business needs and support the organization’s data analytics strategy.

This position follows a flexible hybrid Monday–Friday schedule based at the Home Office in Green Bay, Wisconsin, with three days per week onsite and two days per week working from home. The role may require travel up to 15%. Relocation benefits are available for eligible U.S. salaried positions when relocating more than 50 miles.

The role also supports food safety and quality compliance by working with the leadership team to ensure compliance with Food Safety and Food Quality Plans and customer requirements. It interprets customer requirements for plant production and support groups, establishes and audits PCPs, CCPs, and Standard Operating Procedures, and reviews deviations to determine appropriate corrective action.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• At least 2 years of experience in information technology, manufacturing, and quality systems.
• Strong analytical ability and problem-solving skills, including the ability to translate business needs into solutions.
• Ability to work independently and in a team environment.
• Knowledge of statistical analysis and data modeling techniques.
• Proficiency in Python or R and experience with libraries such as Pandas, NumPy, SciPy, and scikit-learn.
• Experience with cloud-based data platforms; Microsoft Azure Data Factory and Databricks are preferred platforms.
• Experience with a variety of data analysis tools.
• Familiarity with ETL processes and tools, particularly Informatica.
• Expertise in Microsoft Power BI or similar data visualization platforms.
• Ability to travel up to 15%.
• For roles requiring travel, a valid driver’s license, auto insurance meeting at least state minimums (and possibly more), an acceptable driving record, and a vehicle suitable for travel are required.
• Authorization to work in the country where the role is based.

Nice To Haves

• Knowledge of machine learning techniques.
• Experience with Microsoft Azure Data Factory and Databricks.

Responsibilities

• Work with business stakeholders to define challenges and opportunities, and integrate business information and data into appropriate models and tools to develop solutions.
• Analyze data to uncover trends and insights.
• Develop and implement predictive and prescriptive models using advanced statistical and machine learning techniques on Azure Databricks.
• Present findings and insights clearly and actionably using Microsoft Power BI or other data visualization tools.
• Collaborate with, coach, and develop a team of citizen Data Scientists.
• Work with the Business Analytics and Insights team to support the data analytics strategy.
• Collaborate with Solutions Architects and Data Engineers to integrate Informatica-based ETL processes into Azure Data Factory.
• Transform and cleanse data in Databricks to ensure data accuracy and quality in the data lake.
• Apply machine learning algorithms and statistical techniques to complex business problems and decision-making processes.
• Learn and work with Schreiber business systems and Quality Systems processes to support continuous improvement.
• Keep up to date with advances in data science, machine learning, and predictive analytics, and suggest ways to enhance data science capabilities.
• Work with the leadership team to ensure compliance with Food Safety and Food Quality Plans and customer requirements.
• Interpret and communicate customer requirements to plant production and support groups.
• Establish and audit PCPs, CCPs, and Standard Operating Procedures to define and monitor processes and meet customer requirements.
• Review incidents involving procedures not being followed and determine appropriate corrective action.

Benefits

• Employee Stock Ownership Plan (ESOP) participation from day one.
• An 8% 401(k) match into the ESOP and an additional company retirement contribution of about 8% of earnings.
• Opportunity to earn incentive pay twice a year when company goals are met.
• A $10,000 relocation bonus and relocation package for eligible U.S. salaried positions when relocating more than 50 miles.
• Up to $5,000 annually toward childcare costs.
• Wellness Incentive and employer-funded Lifestyle Spending Account for fitness, mental health, and other lifestyle expenses.
• Professional development opportunities relevant to the role and career goals.
• Tuition reimbursement.
• Medical, prescription drug, dental, and vision benefits starting on day one.
• Access to an onsite nurse and mental health counselor.
• Partners Helping Partners support program for employees experiencing hardship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level