Job Description

Position Summary...

What you'll do...

The Walmart Global Tech Merchant Data Science team is looking for a strong Director to lead our robust team of data scientists to build complex, cutting edge, and scalable algorithms for our merchandising organization. We are shaping the future of retail and are ready to work closely with merchants to solve their problems!

Data Source Identification:

* Reviews the deliverables of junior associates and provides guidance.

Data Strategy:

* Understands, articulates, interprets, and applies principles of the defined strategy to complex business problems.
* Leverages experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.

Analytical Modeling:

* Guides the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with unstructured and multiple data sets (for example, streaming data, raw text data).

Data Visualization:

* Customizes communication style based on stakeholders and leverages relationships to drive behavioral change. Guides and mentors junior associates on story types, structures, and techniques based on context.

Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.

Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent.

Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all
programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy.

Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading
key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate
business plans and initiatives; and supporting associate efforts in these areas.

Preferred Qualifications:

* A proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines and deep learning
* The ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
* The ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations learning causal graphs
* Solid expertise with Operations Research, Artificial Intelligence (CSP, Search) Algorithms, System Design, Big Data Analysis (Map Reduce)
* Experience in leading teams that design and build highly scalable distributed ML models

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. Thats what we do at Walmart Global Tech. Were a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the worlds largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

Were virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. Well collaborate in person at a regular cadence and with purpose.



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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)