Job Description

Position Summary...

What you'll do...

Are you a hardcore numbers person who would enjoy solving some of business toughest challenges by illuminating phenomena and opportunity held within one of the worlds largest data sets? As a OR Scientist at Walmart, the mammoth scale and volume of our global data is virtually limitless. You will create insights that influence how we make decisions that have impact at an unprecedented scale.

You will have the opportunity to do your best work while unlocking vast business opportunity by extracting key insights, using pattern recognition to develop predictive analytics, and translating results into goal-oriented business actions. Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths. This isnt analyst work; youll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment.

Seeking a Distinguished (Director Level) Operations Research Scientist with several years of experience working with Transportation or Supply Chain or Airline Industry with deep knowledge and practical experience developing efficient and reusable mathematical solvers via advanced optimization algorithms including mixed integer programming models, network flows models, heuristics, meta-heuristics and etc.

Youll sweep us off our feet if

* You have deep knowledge and practical experience in developing flexible models based on Vehicle Routing, Scheduling and Graph Theory to solve for challenging combinatorial optimization problems.
* You have experience of leading a team of data scientists and software engineers to build highly scalable (both vertical and horizontal) optimization driven applications based on reusable solvers and flexible models.
* You have experience in distributed system is a must have, GPU computing skills such as CUDA programming is good to have.
* You have good understanding of the research trend and industry practices on Reinforcement Learning for optimization is a plus.

Youll make an impact by:

* Oversee architecture design, model selection, and algorithm development for all optimizers across transportation and fulfillment domains within Supply Chain Technology.
* Lead the efforts of creating industry leading optimizers and expose them as generic services for internal and external applications.
* Lead development of the optimization platform with solvers layers and model layers, which can host a set of generic services to power multiple applications within Walmarts online and offline integrated supply chain.
* Mentor junior scientists
* Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization
* Collaborating with our data engineers to gather the right information from our various sources so that you can implement advanced statistical methodologies and design interventions to optimize how our business can best perform
* Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive)
* Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions
* Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy



Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field.



Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)