(USA) Director, Data Science

Position Summary.

What you'll do.

As part of Site Reliability Engineering, you’ll help to develop a unified set of Artificial Intelligence and Machine Learning models to overarchingly detect operational anomalies, predict system failure, root cause an incident and automatically apply remediation steps balancing impact and reward. Those models will be applied to the various business offerings of Walmart including Walmart.com website, stores, distribution centers and its customers across geographies.

As a Director of ML, you will be responsible to build and grow the SRE ML team to perform statistical analysis of all critical parts of Walmart’s business operations and evaluate machine learning models to detect anomalies, alerting and advise remediation plans to quickly remediate any customer/associate impact. This role sits at the confluence of Site Reliability Engineering, and if you enjoy leveraging your natural curiosity and inventive problem-solving skills to understand the needs of our drivers and lead strategic initiatives to improve driver experience at scale.

You’ll sweep us off our feet if…

• Have strong Machine Learning Engineering focus with proven experience across Anomaly Detection and Deep Learning to creates reliable Customer journey.

• Possess solid data science knowledge and experience leading ML projects, data gathering, preparation, wrangling and analysis, model training, testing and deployment.

• Track record in designing machine learning systems and self-running artificial intelligence software to automate predictive models and transform data science prototypes and achieve high accuracy by applying appropriate ML algorithms and tools.

• Engage in high priority business/corporate impacting incidents and analyze ways to identify incident impact, root cause and resolution plans to reduce risk and impact key Operational goals and objectives

• Collaborate effectively with stakeholders from various functions such as Product, Business, Operations, and other Engineering teams to work together to lead initiatives to improve Walmart’s production stability, resiliency.

• Develop a deep understanding of the various data sources, tuning unstructured data into useful insights and employ AI/ML methods to derive better outcomes for Global Tech & business teams

• Actively engage in Holiday (Peak Trading) business discussions with a view to build a safe and reliable

• Customer, Associate and Merchant experience and lower risk exposure

• Be a transformative agent; constantly striving for excellence in a rapidly evolving environment

• Be a multiplier: Build a high performing team with strong engineering-driven culture that promotes diversity, innovation, and creative problem solving

• Possess a global mindset and develop a positive healthy environment while working internationally across cultures

You’ll make an impact by…

• Drive Operational Excellence & support business objectives across the year

• Establish new ways of working to fix fundamentals for operational stability

• Apply data science to identify anomalies for predicting service performance degradation and disruptions thus moving the maturity to a Preventive state

What you’ll bring…

• A recognized Bachelor’s / Master’s degree in Engineering with 15+ years of experience in Computer/Data Science/Mathematics which includes the Machine Learning areas like Anomaly Detection, Predictive Analytics, Computer Vision & Modeling

• 5+ years of experience as a Machine Learning Engineer.

• 10+ years of experience in managing, leading, and developing Machine Learning focused teams of 10+ data/ML engineers

• Extensive knowledge of ML frameworks, libraries, data structures, data modeling and software architecture and in-depth knowledge of mathematics, statistics, and algorithms.

• You are a highly resilient and responsive team player with high degree of cross functional teaming

• You are someone who thrives in a fast-paced, dynamic, startup-like environment to drive business results and passionate about Customer delight with every transaction

• You have a great sense of urgency, is a great communicator (written and verbal), active listener and has experience working in a highly matrixed environment with a global footprint.

• You should possess high degree of Emotional Quotient to actively listen and respond/mobilizeeffective plans directed at our Associates

Benefits & Perks:

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

About Global Walmart Global Tech Enterprise Architecture:

The mission of Enterprise Architecture team is to ensure and enable the technology as the foundation for Walmart business and customer through Architecture, Engineering and Technology Excellence At Scale, while establishing guidance and practice for the tech community to deliver world class technology solutions for Walmart.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Who We Are?

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com

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. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s 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.

We’re 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. We’ll 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.
2 years' supervisory experience

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)

Primary Location.840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, United States of America