What you'll do...
Are you a hardcore numbers person who wouldenjoy solving some of business’ toughest challengesbyilluminating phenomena and opportunity held withinone of the world’s largest data sets?As a
atWalmart, themammothscale and volume ofour globaldata isvirtuallylimitless.You will createinsightsthatinfluencehow we make decisionsthat haveimpactatan unprecedented scale.About Us:The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.You’ll make an impact by:Processing complicated and large-scale datasets using distributed computing platform, extracting insights from data, predicting future trends, and optimizing business metrics.Building advanced machine learning and deep learning models with various applications in marketing, such as customer targeting and personalized recommendation.Running large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in marketing applications which drives millions of clicks to Walmart eCommerce per day.Building compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.You’ll sweep us off our feet if…You’re an inquisitive, out-of-the box thinker who’s continually on the lookout for opportunities to improve and innovate data science solutionsYou have consistently high standards,your passion for quality is inherent in everything that you doYou have the courage to fail fastYou have proven ability as a full stack data scientistwho develops, optimizes, and scalesmodelsfor theproduction environmentYou connectthehow and why, usingyour knowledgeofdata sciencetheoriesandmethodologiestoderive the best approach that is fit-for-purposeMinimum QualificationsMaster’s degree in computer science, Statistics, Optimization or related field plus 4 years' experience in a machine learning/deep learning related field.Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform (Python, R, SQL, Spark,Hive etc.).Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.Experienced with end-to-end modeling projects emerging from research efforts.Strong written and oral communication skills.Preferred QualificationsPh.D. degree in Computer Science, Statistics, Optimization or related field plus 2 years' experience in a machine learning related field.2+ years of experience mentoring junior data scientists.Industrial experience in search engine marketing, computational advertisement, recommendation systems, eCommerce or relevant areas.Proficient in at least one programming language (Java/Python/Scala etc.) and experience in productionizing industry-scale machine learning modelsThe above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.About Walmart Global TechImagine working 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 experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations.Who We AreJoin Walmart and your work could help approximately 220 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. Our mission spreads far beyond the walls of our stores. Here at the world’s leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability and community involvement. careers.walmart.com.Equal Opportunity EmployerWalmart, 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.At Walmart, we offer competitive pay as well as performance-based incentive 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 at https://bit.ly/3iOOb1J .The annual salary range for this position is $160,000.00-$230,000.00Additional compensation includes annual or quarterly performance incentives.Additional compensation for certain positions may also include:-
Regional Pay Zone (RPZ) (based on location)-
Stock equity incentives
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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)
860 W CALIFORNIA AVENUE,
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