Job description

Position Summary...

What you'll do...

About Walmart Connect

At Walmart, we've led retail for over 60 years by keeping our customers' needs at the center of everything we do. Our latest innovations leverage our online reach and massive network of physical stores tosave 160 million weekly omnichannel customers time and money in ways no other retailer can match.

Walmart Connect is building a robust in-house advertising business that's key to Walmart's growth strategy. We partner closely with brands on strategies and solutions that harness Walmart's unparalleled omnichannel influence. We deliver relevant retail ads and experiences that connect our customers with the brands and products they love. And we use Walmart's proprietary online and in-store data, encompassing more than 90% of American households, to measure campaign-correlated sales on our site and in our stores.

We are seeking a Sr. data scientist to enable deep media insights through advanced analytics and predictive modeling. In this advertiser facing team, the Sr. Data Scientist will build and manage modeling projects, identify data requirements, and deliver tools and methodology that are statistically grounded around our products like new targeting methods, automated optimization strategies, customer segmentation models, marketing mix models, multi touch attribution and advertiser-facing recommendations. You should have proficient analytical, technical, business and communication skills to be able to work with business and technology leaders to define and prioritize key business questions, build data acquisition processes, develop statistical models and analyses that answer those questions.

In this fast-growing business, you will be influencing shopping experiences for Walmart customers to help advertisers connect with them in a meaningful way. You will have the opportunity to collaborate and work within the fastest-growing businesses across Walmart! This role combines science leadership, organizational ability, technical strength, product focus and business understanding. If this sounds like a challenge you want in your next role, read on.

Responsibilities
  • Perform hands-on coding to retrieve and analyze large datasets using SQL, Python and/or R
  • Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders
  • Contribute with building measurement / analytics tools and platforms that reflect the best and most appropriate solutions available
  • Manage and streamline data extraction process with great attention to details
  • Assess the potential usefulness, validity, and rigor of new data sources
  • Work with cross-functional team to ensure that the quality of the data are of the highest standard
  • Conduct written and verbal presentations to share statistical models and insights to audiences of varying levels of technical sophistication

Minimum Qualifications
  • Master's degree in statistics/mathematics, engineering, computer science, economics, or related field
  • 5+ years of industry experience in data, analytics, data science role
  • Proficient coding skills (4 - 6 years of experience with SQL and Python/R)
  • Deep knowledge on relational database capabilities
  • Experience with cloud computing services like GCP, AWS or Azure
  • Experience in integrating, structuring, and analyzing large amounts of data from diverse sources
  • Experience in causal inferencing, multi-variate testing & design, A/B testing & design, descriptive analytics, and regression analysis
  • Experience with big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker, etc)
  • Strong project management skills and attend-to-detail documentation skills
  • Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to 'tell a story' that provides insight into the business
  • You have a passion for working in a fast-paced agile environment.
  • A collaborative mindset and sense of curiosity

Preferred Qualifications
  • PhD degree in statistics/mathematics, engineering, computer science, economics, or related field
  • Experience with supervised and unsupervised predictive modeling algorithms, advertising targeting & measurement, and/or digital marketing analytics like uplift modeling, marketing-mix-models, multi-touch-attribution models
  • Experience with optimization techniques like simulation and what-if scenario analysis
  • Experience with MLOps architecture like Docker, Kubernetes, etc.
  • Experience applying statistics to business problems
  • Experience with advertising technology platforms Ad servers, DSPs, DMPs, clickstream data, web analytics, etc.

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 3 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 1 years' experience in an analytics related field. Option 3 - 5 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, Master's degree 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...
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America

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