Walmart Work From Home (Remote) @ Get Dream Job

Walmart; Montpelier (VT); Remote; USD 28,000 - 41,000; Full time

Job summary

Walmart in the USA is seeking a Data Scientist to join the Sam's Club Fraud Detection team. You will manage fraud risk across product areas and partner with products and business teams to set goals and build plans.

You will develop and deploy ML models on large datasets, collaborating with engineers and buyers to drive innovations in detection and prevention. Strong Python/SQL and experience with distributed computing are valued.

Qualifications

• Bachelor's degree required.
• Experience building ML systems a plus.
• Fraud detection experience desirable.

Responsibilities

• Develop fraud detection models for e-commerce, club payments, and related areas.
• Collaborate with product managers and engineers to turn business challenges into data solutions.
• Work with ML models and large datasets, graph processing, and advanced algorithms.

Skills

Python

SQL

Distributed computing

Education

Bachelor's degree

Tools

PySpark

GCP

BigQuery

Job description

Job Responsibilities: Staff Data Scientist Salary: $20-30/Hour Company: Walmart Location: USA Educational Requirements: Bachelor's Degree

Full Job Description: We are looking for a Data Scientist to join the Sam's Club Fraud Detection team. As an employee data scientist, you will be responsible for managing fraud risk in various product areas and being the right partner for products and business teams. You will be responsible for setting goals, creating plans, and working closely with product managers, engineers, and buyers. You will be responsible for discovering new trends and tricks, developing and implementing ML models with advanced data sets and rapidly changing and driving innovations in detection and prevention. tricks and different channels.

What to do

• Use machine learning to develop fraud detection models in areas such as e-commerce and club payment fraud, return abuse, account takeover (ATO), and more.
• Collaborate with entrepreneurs and project managers to turn business challenges into data science solutions.
• Work with ML models and advanced algorithms in large data sets, graph processing, and other areas.
• Work with the engineering team to implement prototype pipelines and deploy the project to scale.
• Quickly respond to system issues with deep root cause analysis.

What to bring

• The company's experience building machine learning systems produces great results.
• Experience with languages used to manipulate data and learn from large datasets (e.g. Python, SQL, etc.)
• Experience working with large datasets and distributed computing tools (PySpark/GCP/BigQuery).
• Experience in fraud risk solutions is desirable
• Experience working on functional products and working with engineering teams to understand requirements and incorporate them into the road map.