Operations Research Data Scientist
Atlanta, GA 
Share
Posted 2 months ago
Job Description

Your Job

We are seeking an Operations Research Scientist to join our Artificial Intelligence / Data Science capability backed by billions. We love enthusiastic, forward-thinking individuals who are driven to innovate. You will have the opportunity to engage with Data Scientists, Analysts, and internal customers to implement ideas, optimize existing products and processes, and create high performance products using powerful, contemporary cloud services. This opportunity engages diverse types of business applications and data sets at a rapid pace, and our ideal candidate gets excited when they are faced with a challenge.


Our Team

We have an opportunity on the Artificial Intelligence / Data Science organization at Georgia-Pacific's Collaboration & Support Center, located in Atlanta, GA. We are looking for an experienced Lead Operations Research Scientist to join a team of Data Scientists to focus on providing support and solutions to our manufacturing operations. Working closely with business partners and engineers, the Lead Operations Research Scientist supports operations through development and deployment of useful and scalable optimization models that make our facilities safe, efficient, and optimal.


What You Will Do

  • Work with product managers and customers to better understand business challenges.
  • Think through a business challenge and produce a set of hypotheses.
  • Create a list of potentially relevant supporting data elements and conduct exploratory analyses.
  • Collaborate with other scientists and analytics professionals.
  • Propose and implement modeling approaches. Focus needs to be on building minimum viable products with vision to improve and mature solutions.
  • Mine the data to check completeness, value distributions, etc.
  • Evaluate models for quality and scalability.
  • Collaborate with product managers to find the best way to present the results.
  • Collaborate with developers, data scientists, and data engineers on productionizing models.

Who You Are (Basic Qualifications)

  • Experience developing and deploying advanced optimization models.
  • Experience in optimization and decomposition of complex problems for custom solutions.
  • Experience with commercial (Gurobi, Cplex, Xpress) or free/open source (GLPK, lp_solve, MIPCL) solvers.
  • Experience developing in Python within a collaborative production environment.
  • Experience in scheduling and routing optimization problems.
  • Experience developing proof of concepts and experimentation and scaling into production within our organization.
  • Experience working with stochastic processes and uncertainty modeling.
  • Experience formulating and solving Mixed Integer linear, non-Linear, quadratic Programming models.

What Will Put You Ahead

  • Experience leveraging cloud platforms such as Amazon Web Services (AWS), Google Cloud, or Azure
  • Experience with statistics and data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling)
  • Experience with Genetic algorithms and Simulated Annealing
  • Experience with multivariate statistics and applied mathematics.
  • Degree in Operations Research, Industrial Engineering, or Mathematics


At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.


Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.


Who We Are

As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.


Our Benefits

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.


Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf

 

Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
Email this Job to Yourself or a Friend
Indicates required fields