What you'll do...
(USA) Staff Data Scientist - Marketing Decision Sciences
The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a 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 marketing campaign optimization.
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, NLP, and Reinforcement Learning.
You have strong implementation experience with at least one programming language (Python, R, Java, Scala, etc.).
You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform.
You have strong written and oral communication skills.
You have a Ph.D. in computer science, statistics, or other related fields with an emphasis on Machine Learning or a Master's degree with 2+ years of data science experience.
What you'll do…
Build machine learning and statistical models to predict or estimate key signals that are used to optimize marketing campaign performance, such as search engine marketing, customer targeting.
Run large-scale statistical A/B tests to evaluate the performance of machine learning and statistical models in SEM applications.
Process complicated and large-scale datasets on distributed computing platforms using queries, extract insights from data, predict future trends, and optimize business metrics.
Build compelling data visualizations and interactive dashboards for monitoring.
Communicate new algorithm suggestions, performance results and business insights to both technical and business teams, internally and externally.
What you'll bring…
Experience in tackling prediction problems: exploring data, building models, and analyzing performance.
Enthusiasm for trying out new algorithms, new data features, new problem statements, new ideas you read in a paper: an always-learning mentality.
Proactive mindset: going beyond a specific task to thinking about any improvements that can help the team.
Communication skills - the ability to present insights to others in the organization.
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.
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.
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.
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.
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)
840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, United States of America
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