About the team:
Our team partners with engineering teams, business professionals and product managers from a variety of digital marketing channels including SEM, SEO, CRM and Display, etc. The team is dedicated to developing large scale data-driven solutions for digital media to bring high quality demand to Walmart at low cost. Team members have the unique opportunity to mine massive data sets generated by Walmart’s unparalleled online and offline commerce and develop models and algorithms that sustain and accelerate the growth of Walmart through omni channels. You’ll work with our distributed team of diverse and passionate data scientists, engineers, marketers, and product managers to build a world-class marketing science practice and integrated platform designed to support entire Walmart to enhance marketing strategies.
What you'll do:
- Utilize cutting-edge machine learning/statistical/optimization techniques to deliver solutions for projects in the domain of marketing science. Examples of projects include marketing attribution, experimental design, channel optimization etc.
- Design statistically sound A/B testing experiments to properly evaluate the effectiveness and business value of proposed marketing strategies;
- Sound statistical modeling experience ideally in marketing domain;
- Consult and advise business teams on A/B and multivariate test opportunities, experiment design and standard methodologies, establishing oneself as a subject matter expert and trustworthy partner.
- Mine massive data, derive business insights, and propose interesting modeling projects that have the potential to have high business impact;
- Standardize and build scalable and highly available systems that follow operational best practices;
- Developing visuals and reports to efficiently communicating model results and insights to business teams.
What you'll bring:
- Strong statistical knowledge and experience in conducting statistical analysis of data and provide clear actionable insights from the results.
- Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses
- Strong skills with SQL, Hive, R or Python, Tableau for data manipulation, statistical analysis, modeling and data visualization.
- Experience with API design and construction using Python. Experience with client-side scripting and JavaScript frameworks, including ReactJS, AngularJS, etc. would be a big plus.
- knowledge of A/B and multivariate testing methodology, including statistical foundations, best practices, and pitfalls
- Advanced degree in computer science, statistics, data science, mathematics or other discipline (e.g., economics, psychology) that exposes scientific methods of research and analysis. Phd degree is a plus.
- Minimum 3-year industry working experience with large-scale data.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Benefits:
Benefits: Beyond our great compensation package, 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.
