Position Summary...

　　What you'll do...

　　We are looking for a Staff Data Scientist to join Sam's Club fraud detection team. As a Staff Data Scientist, you will be responsible for owning fraud risks in various product segments and being a strategic partner to product & business teams. You will be tasked to set goals, create strategy, and closely collaborate with product managers, engineers and business stakeholders. You'll be responsible for detecting changed fraud trends, building and implementing ML models with high-dimensional, fast moving real time dataset and driving innovation in detecting & preventing fraud across various channels.

　　What you'll do:

　　Use machine learning to develop models for fraud detection in areas such as E-Commerce & In-club payment fraud, Return abuse, Account takeover (ATO) etc.Partnering with business and technical stakeholders to translate fraud business problems into data science solutions.Work on highly-scalable ML models and algorithms in big data mining, graph modeling & other domains.Work with engineering teams to implement model pipeline and deploy the service at scale.Swiftly respond to system issues and deep dive into root cause analysis

　　What you'll bring:

　　Industry experience in building production machine learning systems at scale.Experienced with languages used to manipulate data and draw insights from large data sets (e.g. Python, SQL, etc.)Experience working with large data sets and distributed computing tools (PySpark/GCP/BigQuery).Experience in fraud risk solutions is desirableExperience in working with cross-functional product and engineering teams to understand requirements and incorporate them in the roadmap.

　　About Walmart General/Not Function Specific

　　Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners. Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.

　　 Flexible, hybrid work:

　　We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

　　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:

　　Sam's Club 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.

　　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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

　　 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 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

　　 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, 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...

　　603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America