Quality Systems Data Scientist

## Quality Systems Data Scientist Apply:
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 work spaces. 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, Num Py, Sci Py, and scikit-learn.
* Experience with cloud-based data platforms, preferably Microsoft Azure's Data Factory and Databricks.
* Experience with a variety of data…