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Data Scientist

Data Scientist

Padmore Global Connections LLCAtlanta, GA, US
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Job Description

Job Description

Max Pay Rate : $75.26

Work Arrangement : Hybrid

Agency Interview Type : Web Cam Interview Only

Engagement Type : Contract

NOTE : Applications with resumes in PDF Format will be automatically rejected. Only Word format resumes will be considered.

Short Description :

In this role, you will analyze large and / or complex datasets, develop predictive models, and derive actionable insights that drive key business decisions.

Complete Description :

We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. This role will focus on developing and deploying machine learning models, statistical methods, and data-driven strategies to detect risky behaviors and prevent fraudulent activities across our products and services.

Key Responsibilities

  • Collect, clean, and analyze large, complex datasets from multiple sources.
  • Develop predictive models and machine learning algorithms to support decision-making and improve business performance.
  • Translatebusiness problems into data-driven solutions with measurable impact.
  • Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns.
  • Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes.
  • Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions.
  • Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time.
  • Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights.
  • Stay current with emerging fraud techniques, industry best practices, and data science tools.

Required Qualifications

  • Bachelors or masters degree in data science, Computer Science, Statistics, Mathematics, Economics or a related field.
  • 10+ years of professional experience in data science
  • Proficient in Python, SQL, SAS and machine learning techniques
  • Experience in responsible use of AI if used in solution design
  • Strong analytical skills and the ability to identify patterns and trends from data
  • Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure).
  • Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.
  • Experience with visualization tools like Tableau and Power BI.
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