Walmart

You will be a true thought leader and partner in the Marketing organization that can work across key parts of Marketing (Performance Marketing, Brand Marketing, Data Engineering, Category Marketing), Merchandising and Finance to bring data-driven decision making to our marketing strategy.. 7 years' experience using open-source learning frameworks (for example, Scikit Learn, TensorFlow, Torch).. Experience leveraging cloud based 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.. 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.

principal data scientist

Position Summary... What you'll do... As the Principal Data Scientist, Marketing Data Science , you will lead the development of world-class analytics within the Walmart US Marketing team. You and your team are responsible for providing insights about retail and product marketing performance and optimization opportunities for our marketers, product category managers, advertising agencies, internal partner teams, and senior leaders. You will help develop a holistic understanding of how marketing channels and other business levers work together to grow customer engagement, drive incremental sales, and contribute to longer term strategic objectives. You will be a true thought leader and partner in the Marketing organization that can work across key parts of Marketing (Performance Marketing, Brand Marketing, Data Engineering, Category Marketing), Merchandising and Finance to bring data-driven decision making to our marketing strategy. Given the size and scale of the Marketing at Walmart investment this position will be highly visible and have an opportunity to make a significant impact across the entire organization. Team Summary The Marketing Data Science team helps guide business strategy and drive marketing performance by synthesizing data and performance metrics into actionable insights for Walmart's marketing teams, agency partners, and the broader Walmart enterprise. The team sits within the Customer Insights & Strategy organization and is part of the Walmart US Omni (eCommerce and Stores) business. This organization is helping accelerate Walmart's aggressive growth both for online eCommerce and offline brick & mortar stores. About Walmart Marketing 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. 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. We orchestrate marketing campaigns and experiences that reach millions of daily shoppers. Our work spans the digital and physical spaces and combines the work of numerous internal teams and external advertising and media agencies. Our teams work together to show our customers how they can save money and live better. If you are motivated by complex challenges and want to build the future of commerce and consumer services, a Marketing role at Walmart could be what you've been looking for. You Will Make An Impact By <ul><li> Leading the development, deployment and adoption of advanced media attribution models to measure and help optimize Walmart's marketing investment across a wide range of short and long term business objectives.</li><li> Developing, socializing & scaling transformative solutions to solve key marketing measurement challenges. Applying marketing measurement techniques, including media mix models, multi-touch attribution, a/b testing, and causal inference models, to quantify the impact of marketing tactics and other business drivers on short & long-term business and financial outcomes.</li><li> Informing the development of enterprise customer segmentation and audience targeting strategies. Integrating marketing performance insights into our broader understanding of the factors affecting customer engagement and value.</li><li> Supporting Walmart's Category Marketing team by delivering empirically based insights into marketing's contribution to product category performance and growth goals.</li><li> Building & maintaining strong working relationships across departments or teams based on trust and mutual respect. Communicating with senior stakeholders to balance stakeholder and analytics perspectives.</li><li> Providing thought leadership in identifying opportunities to leverage advanced analytics drive incremental performance and business value.</li><li> Partnering with the Data Enablement and Tech teams to define requirements for analytics data pipelines, data management tools, and data visualization/reporting products.</li><li> Partnering with internal Marketing, Finance, Tech and Planning teams to develop forecasts for marketing's incremental contribution to sales and digital traffic. Developing tools and lead training that enable Marketers partners to adopt an analytical mindset for their daily business decisions.</li><li> Communicating technical material clearly to a range of audiences and build narratives that provides insight into the factors impacting business performance. </li></ul>You'll sweep us off our feet if... <ul><li> You have a track record of solving challenging & transformational data science problems in scale - applying your skills, experience and leadership to deliver innovative analytics solutions which drive the company forward</li><li> You operate with customer centricity at the forefront</li><li> You have experience working in multiple business areas / functions / segments</li><li> You can collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li><li> You have experience transforming/automating data within cloud architectures (ie. Google Cloud Platform)</li><li> You have hands on experience and skill communicating complex quantitative information and insights to a broad audience of senior leaders & decision makers</li><li> You can partner effectively with internal stakeholders, including data scientists and data engineers</li><li> You are curious, proactive and comfortable working in unstructured environments</li><li> You have experience driving understanding of customers and their interaction with products, through in-depth analyses of user behavior and engagement</li><li> You have a passion for working in a fast-paced agile environment </li></ul>Minimum Qualifications <ul><li> BA/BS in Business, Marketing, Mathematics, Statistics or related field (or equivalent experience)</li><li> 7+ years of experience in data analysis or an analytical capacity</li><li> 3+ years of experience in Retail Analytics, Digital Analytics, or eCommerce Analytics</li><li> 2+ years of experience leading cross functional teams and influencing Product, Finance, Business Operations and Engineering.</li><li> Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter. </li></ul>Preferred Qualifications <ul><li> PhD in Economics, Statistics, Computer Science, Operations Research, or related field.</li><li> 9 years' experience in data science, machine learning, optimization models, or related field.</li><li> Advanced proficiency in Python, Spark, Scala, or R.</li><li> 7 years' experience using open-source learning frameworks (for example, Scikit Learn, TensorFlow, Torch).</li><li> 2+ years leadership / supervisory experience.</li><li> Prior experience with strategy consulting companies</li><li> Hands-on experience developing and deploying advanced & scalable marketing measurement & optimization solutions, including marketing mix or multi-touch attribution models; experience leading media mix and predictive modeling initiatives.</li><li> Deep working knowledge and experience with supervised models (GLM, classification models, ensemble techniques, regularization techniques, Bayesian models, supervised Neural Networks), and unsupervised models (e.g., K-means clustering, Probabilistic Clustering, Principal Component Analysis, etc.)</li><li> Experience leveraging cloud based 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.</li><li> Experience with various types of marketing data, including data regarding media (e. g., IRI, Kantar, Nielsen) and digital audience (e. g., DMPs), ad-serving (e.g., Google DCM, Atlas), and digital clickstream (e.g., Google Analytics, Adobe).</li><li> Proven track record of thought leadership, innovation, and collaborative partnership with senior leaders in marketing and other business functions.</li><li> Experience with causal inference measurement methodologies (a/b and multivariate testing, customer level synthetic control groups, Google Causal Inference, geo-based a/b testing).</li><li> Working knowledge of Digital Marketing Channels (at least CPC Paid Search and Programmatic Display). Preference will be given to candidates with experience optimizing paid media channels through advanced Marketing and Ad Technology (i.e. Marin, Kenshoo, Google DoubleClick & Adwords, etc.).</li><li> Strong organizational skills with a demonstrated ability to manage multiple priorities and lead complex projects with a high degree of ambiguity.</li><li> Strong problem solving, analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes.</li><li> A self-starter with a sense of ownership and accountability</li><li> You have a passion for working in a fast-paced agile environment. </li></ul>How You'll Thrive At Walmart <ul><li> Performance-based incentive awards</li><li> 401k with company match</li><li> Discounted employee stock purchase plan</li><li> Paid parental leave,</li><li> New surrogacy & adoption benefits</li><li> Unlimited Flex Time Off</li><li> Working alongside a diverse group of collaborative and innovative team members</li><li> Opportunity for growth and development across several areas of the Fortune 1 organization</li><li> And much more </li></ul>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 $132,000.00-$264,000.00 ‎ Additional Compensation Includes Annual Or Quarterly Performance Bonuses. ‎ Additional Compensation For Certain Positions May Also Include ‎ ‎ <ul><li> Stock </li></ul>‎ ‎ 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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... 221 River St, Hoboken, NJ 07030, United States of America

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