As the Senior Data Scientist - Social Commerce, you are responsible for providing insights and actionable recommendations through pattern recognition, Controlled Experiments and Causal Inference models to drive measurable marketing performance within all of Walmart's Social Commerce channels. You will help develop a holistic understanding of how product categories, marketing channels and other business levers work together to grow customer engagement, drive incremental sales, and contribute to longer term strategic objectives. You will partner closely with other teams on measurement & optimization methods and on developing and utilizing existing models and tools to establish interdependencies between product categories as well as Social Commerce channels. You will collaborate with Marketing, Product and Engineering to develop relevant solutions and timely insights which inform marketing strategy and enable data-driven decision making. Given the size and scale of the Marketing investment at Walmart, this position will be highly visible and have an opportunity to make a significant impact across the entire organization.
About Walmart Marketing:
Walmart Marketing is a dynamic, multidimensional organization dedicated to redefining how the world shops through impactful creative and fast-paced innovation - all grounded in customer insights and brand strategy. We live out our company values each day while striving to exceed customer expectations and drive growth for the company.
Named Ad Age's Marketer of the Year in 2022, you'll join an internationally recognized team of thinkers, creators, and problem solvers passionate about helping people save money and live better.
Our Marketing team offers a hybrid working model. You must reside or be willing to relocate within a reasonable driving distance to one of our hubs: Bentonville, AR, Hoboken, NJ, San Bruno, CA, or Los Angeles, CA. We are transitioning towards a model where associates are expected to be present in the office 2 to 3 days each week, while still allowing for some level of flexibility.
You will make an impact by:
Analyzing large and complex datasets to identify trends, patterns, and insights to measure performance against competition and inform business growth opportunities
Researching, creating, and implementing advanced statistical models and cutting-edge machine learning algorithms on fast-moving structured and unstructured data to support decision making
Applying quasi-experiment techniques/causal models where controlled experiments are not applicable
Utilizing machine learning, time series analysis, and clustering, to generate predictive models or understanding customers to enhance marketing decision-making
Leading projects and take ownership of whole lifecycle of projects, communicate with cross-functional teams (e.g., Engineers, Finance, Merch, Ops, Marketing, etc.) to align progress and collaborate on integrations
Using Walmart's vast 1st Party and 3rd Party data to analyze customer behavior, build compelling customer segments and activate audience targets to drive business performance across channels.
Communicate findings and insights to both technical and non-technical stakeholders through clear and concise reports, visualizations and presentations to gain alignment and drive business actions
Guide and mentor junior data scientists on modeling process and algorithm and foster a collaborative and innovative work environment.
You'll sweep us off our feet if:
You have strong grasp of statistical concepts including hypothesis testing, Bayesian inference, and causality.
You have proven record of developing causal models using various machine learning algorithms, tailored to solve marketing challenges.
You have in-depth understanding and experiences using machine learning libraries.
You have experience contributing to a high-performance culture delivering multiple projects, priorities in a fast-paced and growing segment of Walmart ecommerce business.
You can collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
You have hands on experience and skill communicating complex quantitative information and insights to a broad audience of senior leaders & decision makers.
You are curious, proactive and comfortable working in unstructured environments.
What you'll bring:
Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 6 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 4 years' experience in an analytics related field.
Expert at SQL and Python - ability to manipulate large quantities of data to drive business decisions is a must.
Solid knowledge of statistical concepts and experimentation
Proven advanced modeling experience in leading data-driven projects from definition to execution, driving and influencing project roadmaps
Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.
Preferred Qualifications:
Master of Business Administration or Master's Degree in Mathematics, Statistics, Computer Science, Engineering or related field.
6+ years of experience in Marketing Analytics, Digital Analytics, or eCommerce Analytics with experience working with marketers to maximize marketing contribution to business performance goals.
Knowledge of machine learning and AI techniques to build and implement models that optimize marketing performance.
Rockstar data scientist who can come up with modeling/testing/statistical framework to answer ambiguous strategic questions from business stakeholders to then deliver data driven causal/observational insights that create aha moment driving the business ahead.
Model productionalization, creation/maintenance of data pipelines and data lakes for use in the models is NOT a focus of this role and done in collaboration with engineering teams.
Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
Experience building and applying customer segmentation, cohort models and personas to actionable results.
You have a passion for working in a fast-paced agile environment.
How you'll thrive at Walmart:
Performance-based incentive awards
401k with company match
Discounted employee stock purchase plan
Paid parental leave,
New surrogacy & adoption benefits
Unlimited Flex Time Off
Working alongside a diverse group of collaborative and innovative team members
Opportunity for growth and development across several areas of the Fortune 1 organization
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.
Who We Are
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life. careers.walmart.com
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $117,000.00-$234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:
- Stock
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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
About Walmart
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
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, abilities, ideas and opinions- while being inclusive of all people.
"At Walmart, we get the opportunity to grow professionally and personally-all while improving how we work and what we deliver to consumers." - Lola, Project Analyst
Hello, Silicon Valley
You don't have to choose between your career and your lifestyle. In Silicon Valley, you can have both.