Data Scientist

Mindfore Technologies • Full-time • Atlanta, GA, US • 4m ago

Job Title: Data Scientist Location: Atlanta, GA – Hybrid Duration: Long Term 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 / Desired Skill

Highly desired Familiarity with graph analytics or network-based fraud detection tools.
Highly desired Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime.
Highly desired Strong communication skills with the ability to explain technical solutions to non-technical stakeholders.
Required Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field.
Required 10 Years Professional experience in data science.
Required 5 Years Proficient in Python, SQL, SAS and machine learning techniques.
Required 5 Years Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure).
Required Understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.
Required 5 Years Experience with visualization tools like Tableau and Power BI.
Required 5 Years Experience in responsible use of AI if used in solution design.
Required Strong analytical skills and the ability to identify patterns and trends from data.