Senior Data Scientist-Retail Intelligence
- Location BENTONVILLE, AR
- Career Area Data Science and Analytics
- Job Function Data Science and Analytics
- Employment Type Regular/Permanent
- Position Type Salary
- Requisition R-1553219
What you'll do...
Are you ready to help transform the Retail Business? Do you love to learn from data and experiments? Do you want to be a part of our AI/ML success story? If yes, then this is that team where magic happens. We are looking for experienced Data Scientists who have a penchant for challenging status quo, constantly innovating, experimenting and communicating the business-critical outcomes effectively with leaders and multiple business partners.
The Senior Data Scientist is a critical hands-on role, uses cutting edge machine learning and statistics techniques to do experimentation and learning for our company’s continued success. Reporting to the Director, Data Science, the ideal candidate will have a strong background in data science, statistics, machine learning and data querying. The candidate will also be able to communicate effectively with both technical and non-technical audiences.
About the Team:
The Retail Intelligence team is transforming the Retail business by reimagining existing business processes and incorporating ML/AI activations to achieve increased Customer and Associate engagement. The AI/ML Experimentation team, as part of the wider Retail Intelligence organization will be responsible for data/ business process mapping/discovery, value mapping ML/AI activations, rapid prototyping of ML/causal inference models, designing experiments and measurement of success metrics.
What You’ll Do:
Partner with Science Management and Strategy teams to identify, design, develop, and execute experiments to improve AI/ML products or services.
Define success metrics for various AI/ML initiatives; analyze data from experiments and/or simulation models to identify and quantify the impact of changes.
Guide AI/ML adoption and roll out strategy by communicating the results of experiments to key strategic leaders and multiple stakeholders.
Identify dimensions and designs of experiments and create test and learn frameworks.
Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.
Develop newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets.
What you’ll Bring...
4+ years of experience in data science, machine learning, statistics to solve business problems.
Experience with data science and ML packages such as Do/why, scikit-learn, pandas, NumPy etc.,
Experience with Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks
Proficiency in statistics, design of experiments, A/B testing, causal inference
You’re a storyteller - a master at making complex subjects easily understood through compelling stories and visuals.
Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development, familiarity with ML Ops and putting models into production.
The 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.
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
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.
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.
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)
Primary Location...702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America
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.