Quality Systems Data Scientist
Schreiber Foods
About the role
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 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.
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.
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Responsibilities
- Analyze quality and food safety data to identify trends and actionable insights.
- Build predictive and prescriptive models using statistical and machine learning techniques.
- Present findings to stakeholders with data visualization tools such as Power BI.
- Collaborate with business stakeholders, data engineers, and architects to develop analytics solutions and integrate data pipelines.
- Transform and cleanse data using Databricks and support analytics strategy.
- Coach and develop citizen data scientists and support continuous improvement in quality systems.
Qualifications
- 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.
- Knowledge of statistical analysis, data modeling, and data analysis tools.
- Proficiency in Python or R and libraries such as Pandas, NumPy, SciPy, and scikit-learn.
- Experience with cloud data platforms, preferably Azure Data Factory and Databricks.
- Familiarity with ETL processes and Informatica.
- Experience with Power BI or similar data visualization tools.
- Ability to travel up to 15%.
Benefits
- Employee Stock Ownership Plan and retirement contributions, including an 8% 401(k) match and an additional company contribution.
- Twice-yearly incentive pay based on company goals.
- $10,000 relocation bonus and relocation package for eligible relocations over 50 miles.
- Childcare assistance of up to $5,000 annually.
- Wellness incentive and employer-funded Lifestyle Spending Account.
- Tuition reimbursement and career development opportunities.
- Medical, prescription, dental, and vision benefits starting on day one.
- Onsite nurse and mental health counselor.
Skills mentioned
About Schreiber Foods
Schreiber Foods strives to do good through food every day. Based in North America, we’re a customer-brand leader in cream cheese, natural cheese, process cheese, beverages and yogurt. Our more than 10,000 employees and presence on five continents enable us to be an essential ingredient in our customers’ success. With annual sales of more than $7 billion, we partner with the best retailers, restaurants, distributors and food manufacturers around the globe. We also recognize our responsibility to do good in the world and are driven to make a difference in everything we do. We’ve come a long way since our start as a small cheese company in 1945. Today, our team is more than 10,000 strong at locations across North America, Europe, South America, Asia and Africa. But our commitment to providing safe food the right way has never changed. At Schreiber, we call ourselves partners, not employees, and there’s a good reason behind that. Our work is more than just a job. We make the company grow. We help each other grow and take care of each other along the way. And, we all share in the rewards. Our people are truly the heart of our company, and we're on a journey together. We work hard to find great people with diverse backgrounds, experiences and perspectives, and provide opportunities to help them grow. But it’s about more than a career at Schreiber. Like a family, we care deeply about each other. We strive to foster an inclusive work environment where all our partners can thrive. We've increased our commitment to diversity and inclusion by creating an overarching Diversity and Inclusion Council, as well as resource groups for women, African Americans, Pride, Vets and more groups that give a voice to all of our partners. We're always looking for passionate partners to join our team and bring to life our culture of being customer obsessed and brilliant at the basics. Want to learn more about our company? Visit us at www.schreiberfoods.com.
H-1B sponsorship history
Historical employer filing data was found for Schreiber Foods. The employer record includes 29 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.