Supply Chain Data Scientist

Lensa; Chicago (IL); On-site; USD 63,000 - 93,000; Full time

Job summary

A leading AI-oriented company is seeking a Data Scientist in Chicago to enhance supply chain analytics with data-driven solutions. This role involves developing advanced data products, utilizing SQL and Python to solve complex data challenges, and collaborating with a dynamic team to improve decision-making processes. The company offers a competitive salary, comprehensive benefits, and opportunities for career growth.

Benefits

Comprehensive healthcare plans

Bonus incentive opportunity

Career development opportunities

Paid-time off

Flexible work-schedules

Qualifications

• 1+ years of hands-on experience with SQL required.
• 1+ years of experience applying operational research models, data mining applications, and advanced analytics.
• Coding skills in SQL and Python required.

Responsibilities

• Develop data mining and advanced analytics to optimize needs and identify areas for improvement.
• Deploy models and advanced analytics solutions for data-driven decision-making.
• Maintain supply chain data products supporting both traditional BI reporting and AI/Data Science use cases.

Skills

SQL

Python

Machine Learning

Data Analysis

Statistical Analysis

Education

Bachelor's Degree

Tools

Databricks

Power BI

Azure DevOps

Job description

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Lensa partners with DirectEmployers to promote this job for Conagra Brands.

Reporting to the Manager of Data Science, you help build advanced data and analytics products using AI, Data Science and Machine Learning supporting Supply Chain end to end. You will show up each day obsessing over our challenges and drawing on collaborative nature to develop transformative data solutions. Daily responsibilities include partnering with team members to hypothesize, formulate, develop and improve data science products to help guide and advance data-driven decisions and automation.

What You'll Do

• Develop data mining and advanced analytics to monitor, benchmark, and optimize our needs, identifying areas for improvement and deeper, root-cause analysis
• Deploy models, simulation models, and other advanced analytics solutions to promote data-driven decision-making to meet goals
• You will maintain supply chain data products supporting both traditional BI reporting and AI/Data Science use cases
• Implement AI/BI solutions to enhance the user experience for existing traditional BI reports
• Partner with team members on assumptions, opportunities, and solutions
• Identify relationships and trends, perform statistical analysis and implement machine learning algorithms for prediction, forecasting and classification
• Improve our analytics maturity and data-driven culture
  
  

What You'll Bring

• Bachelor's Degree required
• 1+ years of hands-on experience with SQL required
• 1+ years of experience applying operational research models, data mining applications, and advanced analytics
• Coding skills in SQL and Python required and are eager to learn other languages
• Experience in machine learning such as clustering, time series, classification, regression, anomaly detection, simulation and optimization queries
• Experience drawing conclusions and solving problems from a combination of large datasets in several areas
• Proven problem solving in complex environments with solutions and applicable results
• Experience with Databricks / Microsoft Power BI / Azure DevOps
• Ability to travel up to 20-30% to Chicago or Omaha
  
  

Our Stack

• Data Warehouse: Databricks, Snowflake
• ETL/MLOps: Databricks
• Dashboarding: Power BI, Streamlit
• Source Control: Azure DevOps
• Business Systems: SAP, Oracle Transportation Management (OTM), Blue Yonder Supply Response, Blue Yonder WMS
  
  

Compensation

Pay Range:$63,000-$93,000

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role:

• Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities
  
  

Our Company

At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions – within our people and our iconic brands like Birds Eye , Slim Jim and Reddi-Wip.

Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.

Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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