Location SAN BRUNO, CA Career Area Data Science and Analytics Job Function - Employment Type Regular/Permanent Position Type Salary What you'll do at Position Summary What you'll do We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, hypothesis test, segmentation, etc.). Responsibilities Perform hands-on modeling and complex analyses using Python, SQL and/or R. Develop and implement machine learning techniques to connect the impact of marketing tactics and business short-term and long-term outcomes. Using business and technical knowledge, inform design and implementation of tests (e.g. test setup, validation of hypothesis, size and configuration of tests, test length, and test measurement). Communicate statistical concepts, procedures, and results to a variety of stakeholders. Partner with cross-functional team to streamline data science solutions. Minimum Qualifications Master's degree in Mathematics, Statistics, Computer Science, Engineering or a related field. 4 years of industry experience in data science, measurement, marketing strategy & analytics. Proficiency in programming languages such as SQL, Python and R Extensive experience in A/B or Multivariate test experimental design and statistical inference. Expert knowledge and hands-on experience on predictive modeling Ability to work independently and solve complex problems. Strong communication skills to tell a story that provides insight into the business. Ability to work in a fast-paced agile environment. Collaborative mindset and sense of curiosity. Preferred Qualifications PhD degree in Mathematics, Statistics, Computer Science, Engineering or a related field. Experience with advertising, measurement, and/or digital marketing analytics. Experienced in building market mix and multi-touch attribution models. Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc. Advanced programming skills with experience of creating Python modules. About Walmart Connect At Walmart, weve 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 thats key to Walmarts growth strategy. We partner closely with brands on strategies and solutions that harness Walmarts unparalleled omnichannel influence. We deliver relevant retail ads and experiences that connect our customers with the brands and products they love. And we use Walmarts proprietary online and in-store data, encompassing 95 PERCENT of American households, to measure campaign-correlated sales on our site and in our stores. Walmart isnt simply the worlds most successful retailer were the worlds largest company. This is a unique opportunity to be part of a high-visibility team backed by the most talented retail colleagues in the world and over six decades of success. Join us. 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 3 years' experience in an analytics related field. Option 2- Masters 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, Masters 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)
