Firm Name: Walmart

Numbers of Jobs: Staff Data Scientist

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hours

What's Job City: DALLAS

Job Details:

What you did.

 A Staff Data Scientist is needed to join the Sam's Club fraud detection team. Managing fraud risks across a variety of product categories and acting as a strategic partner to the product and business teams are among the responsibilities of a staff data scientist. Setting goals, creating a plan, and collaborating closely with product managers, engineers, and other business stakeholders are all expected of you. You will be in charge of spotting altered fraud trends, developing and applying ML models with high-dimensional, quickly paced real-time datasets, and encouraging innovation in spotting and preventing fraud across various channels.

 You'll perform:.

•  Using machine learning, develop fraud detection models for issues like return abuse, account takeover (ATO), online shopping, and club payment fraud.
•  combining efforts with technical and business stakeholders to turn fraud issues into data science solutions.
•  Create highly scalable big data mining, graph modeling, and other ML models and algorithms.
•  Together with engineering teams, develop a model pipeline before implementing the service widely.
•  As soon as a system problem appears, start a careful root cause analysis.

 You'll bring this with you.

•  building machine learning systems at production scale with business knowledge.
•  knowledge of the languages required to manipulate data and draw conclusions from sizable data sets (e. g. Java, SQL, etc. ).
•  understanding of BigQuery, PySpark, and other distributed computing tools in use.
•  It is ideal to have knowledge of fraud risk management.
•  experience understanding requirements and incorporating them into the roadmap while collaborating with engineering and product teams from different disciplines.

 Information about Walmart in general; not applicable to particular functions.

 In 1983, Sam Walton opened the first Sam's Club in response to an increase in demand from customers seeking to buy large quantities of goods. Following that, Sam's Club quickly grew, opening more than 600 clubs throughout the U. S. S. as well as 100 clubs worldwide. By giving its members access to low-cost, wholesale goods, Sam's Club makes it easier for families and small-business owners to save money. Sam's Club employs about 110,000 people in the US. The typical club has a floor area of 134,000 square feet and offers a variety of products, including bulk foods. Most clubs also provide specialty services, such as a pharmacy, optical shop, photo studio, or tire and battery shop.

 Future Working Methods:.

 The success of our company is due to our employees. While technology has enabled us to work remotely and remain productive, nothing can replace being present in the same office space at the same time to promote collaboration, innovation, and speed up work. Even though we understand that face-to-face interactions are essential to our culture and mutual success, we work to offer flexibility to promote a healthy work-life balance. Our face-to-face meetings will be frequent and productive.

 Benefits:.

•  Along with our top-notch compensation package, you can also receive incentive awards for your performance. There are many other fantastic benefits available, in addition to paid parental and maternity leaves, stock purchase plans, PTO, different health insurance options, and many more wonderful perks.

 Employer who values diversity.

 Sam's Club is a voluntarily equal opportunity employer. We firmly believe that we can better support our employees, clients, and the communities we serve by getting to know them. This requires valuing diversity, which includes various perspectives, identities, ideas, and styles, while also understanding it.

 The information above has been compiled to give a general idea of the kind and amount of work required for the role. This document is not meant to be a comprehensive list of all responsibilities and specifications for individuals hired for this position, and it shouldn't be taken that way. The entire Job Description could be made available to candidates during the hiring process.

 Essential Prerequisites.

•  Listed below are the minimum requirements for this position. If none are listed, there are no requirements that must be met.
•  Option 1 necessitates a bachelor's degree in statistics, economics, analytics, math, computer science, information technology, or a related field, as well as four years of professional experience in a field relating to analytics. Option 2: a master's degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field, plus two years of professional experience in an analytics-related field. Option 3: Six years of experience in analytics or a related field.

 Recommendations for qualification.

•  The following is a list of the position's optional preferred requirements. If none are listed, no preferred credentials exist.
•  Data science, machine learning, optimization models, a PhD in machine learning, computer science, information technology, operations research, statistics, applied mathematics, and econometrics, as well as the successful completion of one or more assessments in Python, Spark, Scala, or R. Using open source frameworks (such as scikit learn, TensorFlow, or Torch).