Quality Systems Data Scientist

Schreiber Foods•Green Bay, WI

2d•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, develops predictive models, and collaborates with the Business Analytics and Insights team to create data-driven solutions that support business needs and the organizational analytics strategy. This position is based at the Green Bay, Wisconsin Home Office and follows a flexible hybrid schedule: three days per week onsite and two days per week from home, Monday through Friday. The role may require travel up to 15%. A $10,000 relocation bonus and relocation package are offered to eligible candidates relocating more than 50 miles for this position. The role also supports compliance with Food Safety and Food Quality Plans and customer requirements. In collaboration with leadership, it interprets customer requirements for plant production and support groups, establishes and audits PCPs, CCPs, and Standard Operating Procedures, and reviews procedure-related incidents to determine appropriate corrective actions.

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, preferably Microsoft Azure Data Factory and Databricks.
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 positions requiring travel, a valid driver's license, at least state-minimum auto insurance, an acceptable driving record, and a vehicle suitable for the travel requirements are required.

Nice To Haves

Knowledge of machine learning techniques.

Responsibilities

Work with business stakeholders to define challenges and opportunities and integrate business information and data into appropriate models and tools.
Conduct data analysis 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 to stakeholders using data visualization tools such as Microsoft Power BI.
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 using Databricks to ensure data accuracy and quality within the data lake.
Apply machine learning algorithms and statistical techniques to solve business problems and optimize decision-making.
Learn and work with Schreiber business systems and Quality Systems processes to support continuous improvement.
Stay current with advancements in data science, machine learning, and predictive analytics and suggest improvements to data science capabilities.
Support 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 met 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.
$10,000 relocation bonus and a relocation package for eligible U.S. salaried candidates 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.
Role-relevant development opportunities and tuition reimbursement.
Medical, prescription drug, dental, and vision benefits starting day one.
Onsite nurse and mental health counselor.
Partners Helping Partners support program for employees experiencing hardship.