Senior Data Scientist - Manufacturing in Lake Forest, IL at Reynolds Consumer Products

Date Posted: 1/29/2022

Job Snapshot

Job Description

Job Title: Senior Data Scientist - Manufacturing 

City: Lake Forest / State: Illinois                                                   

Job Description

Join Reynolds Consumer Products…a world of opportunities! We are passionate about achieving results and have fun winning as a team! We are committed to a diverse and inclusive workplace environment in which individual differences are recognized, respected and appreciated.

At Reynolds, we provide amazing job opportunities for growth with competitive salaries and benefits in an exciting, dynamic, fast-paced, and fun workplace environment. Are you looking to build a strong career?  Then we have an opportunity for you! We are searching for a Senior Data Scientist - Manufacturing to join our team located at our headquarters in Lake Forest, IL.

Your Role:

As a Senior Data Scientist - Manufacturing, you will primarily be responsible for solving operations problems by processing and analyzing data from multiple sources to identify meaningful relationships, patterns and trends.  You will prepare data insights and proposals in narrative and visual forms and leverage advanced data science methods to discover opportunities to increase equipment effectiveness, reduce costs and provide insights to plants on process disruptions. You will have the opportunity to:

  • Improve the manufacturing process by formulating hypotheses, conducting experiments and delivering improvements to KPIs based on findings
  • Perform data engineering transformations and data design activities
  • Maintain and tune analytical models to predict and monitor the condition of plant equipment
  • Influence manufacturing decision makers by presenting statistical insights
  • Ensure our manufacturing operations operate at peak efficiency

Ultimately, you will be a vitally important team member in our Digital Manufacturing Group and help Reynolds Consumer Products succeed by leveraging data insights.

You will love it here if…

  • You are not only a team-player, but you foster a collaborative team environment
  • You are analytic, enjoy new challenges and thrive in a fast paced manufacturing operation
  • You are committed to operational excellence and to keeping others safe in the workplace

We need you to have:

  • A strong proficiency in statistical analysis methods and tools, e.g., Python, Machine Learning
  • 3-5 years of experience in data model development, data visualization, and application of advanced analytics to drive business outcomes
  • 3-5 years of experience in the design and implementation of data infrastructures and data hierarchies
  • Experience in AWS Analytics platform
  • SQL query skills
  • Strong analytical and problem solving skills
  • BA/BS in Data Analytics, Engineering, Business, or a related field

Icing on the cake:

  • Experience developing and implementing predictive maintenance and predictive quality models
  • Data visualization skills in Power BI
  • Prior experience working in operations research or related field, e.g., Industrial Engineering or Manufacturing

For applicants or employees who are disabled, or require a reasonable accommodation for any part of the application or hiring process, you may request assistance by emailing us at

No recruiter calls or emails please.



Reynolds Consumer Products is an Equal Opportunity Employer EEO AA M/F/Vet/Disability.

Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, protected veteran status or disability.

Reynolds Consumer Products is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following EEO is The Law Poster:

The Pay Transparency Policy Statement can be found on this link:

The poster and the supplement can be found on this link.

For applicants or employees who are disabled, or require a reasonable accommodation for any part of the application or hiring process, you may request assistance by calling us at 224-295-6808 or email

No recruiter calls or emails please.