Scientist Jobs

About The Position

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.