(USA) Senior Director II, Data Science

Key Skills

Java Programming, Python Programming, SQL, Scala Programming, Deep Learning, PyTorch, TensorFlow, Scikit-learn, R Programming, SPARK Programming, S-Plus

Job Description

Position Summary...

What you'll do

Senior Director II, Data Science

At Walmart our mission is to help people save money and live better. We are the Fortune #1 company with 11,695 stores under 59 banners in 28 countries. We reach more than 200 million customers every week. At Walmart Global Technology organization, we build innovative technology to serve our customers online and in our stores. We solve some of the most complex technical problems when it comes to personalization, scale, availability, and user experience. We are innovating the next generation of omni-channel commerce. Do you want to influence how the next 50 years of retail will look like? Come join us.

Our Team (Advertising and Marketing Technology)

Our Advertising and Marketing Technology team is part of the New Business and Emerging Technology organization of Walmart Global Tech. We are a group of engineers and data scientists. Our vision is to be the leading advertising platform of omni-retail industry. We build technology to facilitate our users' shopping experience on our Site and Store by making meaningful connection between our Suppliers/Sellers and Shoppers. We use cutting-edge machine learning and optimization algorithms on billions of ad impressions and Walmart’s proprietary online and in-store data to facilitate customer’s shopping journey. We are building the next generation of omni-advertising platforms to deliver performance and value at scale.

What you will do:

As the Chief Scientist for Advertising, you will be part of the core senior technology leadership team for Advertising and Marketing group. The role will report to the Vice President of Advertising and Marketing Tech group. You will be focused on experimenting and applying computational advertising techniques to improve effectiveness and efficiency of Ads Marketplace. The successful candidate will be able influence algo development that will shape our next-gen advertising platforms.

Additionally,

• the role will entail the following responsibilities:
• Be the single point for evaluation of core algorithms used in our advertising and marketing tech teams.
• Experiment needed ML techniques to identify inefficiencies and bottlenecks in our ads marketplace – be it bidding, auctioning, pricing, overall supply-demand dynamics impacting ads economy.
• Influence the Data Scientists and Engineers in the teams to launch new algorithms to production.
• Drive innovation by filing patents, speaking in conferences and meet-ups.
• Mentor other Data Science talents in the team.
• This leader will not have teams reporting to him directly. The success in this role will depend on influencing through thought-leadership as well as being known for expertise on computational advertising.

What you will bring:

• Domain expertise in AdTech focused on Sponsored Search, Video and Display.
• Deep expertise of ML/DL techniques, Computation Advertising, Auction dynamics, Ad economics, etc.
• Working knowledge of Big Data technologies including ML libraries like TensorFlow/Keras, PyTorch, etc.
• Excellent communication skills to communicate with technical and non-technical audiences.
• BS or MS degree in Computer Science or a related technical field and 2+ years of industry experience.

Bonus if you bring:

• Previous Start up experience.
• Biased towards innovation.
• Customer empathy.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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.

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

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: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8 years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 3: 10 years' experience in an analytics or related field.

4 years' supervisory experience.

As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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, Using open source frameworks (for example, scikit learn, tensorflow, torch)