Staff Data Scientist - Ad. Tech.

Position Summary...

What you'll do...

What you'll do...

The mission of the Advertising Technology organization is to advance Walmart eCommerce by driving higher value for our customers and vendor partners. Walmart is investing in building a world class advertising platform and the Ads team is responsible for defining and performance advertising products that drive discovery, sales, and profits.

We are a highly motivated group of Big Data Geeks, Machine Learning Scientists and Applications Engineers, working in small agile group to solve sophisticated and high impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting edge machine learning, data mining and optimization algorithms on ad relevance, ranking and campaign optimization. 

You’ll make an impact by: 

• Research, design, and implement data models and cutting edge algorithms on high-dimensional, fast-moving, unstructured and structured data.
• Process complicated and large scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics.
• Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, measurement and optimization.
• Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance.
• Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

You’ll sweep us off our feet if: 

• You’re experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning.
• You have strong implementation experience with at least one programming language (Python preferred). 
• You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform. 
• 2+ years of experience mentoring junior data scientists or machine learning team.
• You have strong written and oral communication skills.
• You have a Ph.D. in a computational science with an emphasis in Machine Learning. 
• You have experience in online advertising, recommender system, ranking, ecommerce or relevant areas. 
• You’re experienced with end-to-end modeling projects emerging from research efforts.
• You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications. 
   

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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, Using open source frameworks (for example, scikit learn, tensorflow, torch)
• Production level experience working with hypothesis testing, informational engineering, causal inference, and/or search / recommendation engines.

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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
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, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...

600 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-2486, United States of America