Data Scientist – Enterprise Fraud

Jobtailor; Alabama; On-site; USD 80,000 - 110,000; Full time

Job summary

Jobtailor in Alabama is seeking a skilled data scientist focused on fraud analytics to develop anomaly detection metrics and monitoring tools. You will analyze large structured and unstructured data to surface fraud patterns and provide actionable insights to management.

You will collaborate with cross-functional teams, conduct data processing and mining, and design ML-based algorithms to predict business outcomes and optimize fraud mitigation strategies.

Qualifications

• 3+ years of relevant / direct industry experience
• Master’s education
• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)

Responsibilities

• Develops anomaly detection metrics and monitoring tools.
• Analyzes data to detect fraudulent activity and surface trends.
• Partners with cross-functional teams to share insights and improve fraud mitigation.
• Performs analytical tasks on large structured and unstructured data to extract actionable insights.
• Participates in data gathering, processing and mining of large datasets.
• Develops ML-based algorithms to predict outcomes and guide actions.
• Runs analytical experiments to identify opportunities for optimization.
• Assists in presenting business insights to management using visualization and data storytelling.

Skills

Data Analytics

Data Mining

Machine Learning

Data Science

Analytical Thinking

Collaboration

Communication

Education

Master’s Education

Tools

Data Processing

Data Visualization

Predictive Modeling

Algorithm Development

Statistical Techniques

Anomaly Detection Metrics

Fraud Detection

Job description

• Developing effective anomaly detection metrics and monitoring tools to identify potential fraud.
• Analyzing data to detect suspicious activity, identify fraud patterns, and surface emerging trends.
• Partnering closely with cross-functional teams to share insights and continuously improve fraud mitigation processes.
• Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
• Participates in the data gathering, data processing and data mining of large and complex datasets.
• Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Runs analytical experiments in a methodical manner to find opportunities for product and process optimization.
• Assists in the presentation of business insights to management using visualization technologies and data storytelling.

Requirements

• 3+ years of relevant / direct industry experience
• Master’s education
• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)

Core Competencies

Demonstrates expertise in Data Analytics, Data Mining, and Machine Learning to develop effective anomaly detection metrics and monitoring tools. Capable of analyzing large datasets to extract actionable insights and optimize fraud mitigation processes through collaboration and data storytelling.

Highest-signal resume keywords

• Data Analytics
• Data Mining
• Machine Learning
• Analytical Thinking
• Data Science

ATS Optimization Keywords

Hard Skills

• Anomaly Detection Metrics
• Fraud Detection
• Statistical Techniques
• Algorithm Development
• Data Processing
• Data Visualization
• Data Analysis
• Predictive Modeling
• Business Insights Extraction
• Data Experimentation

Soft Skills

• Analytical Thinking
• Collaboration
• Communication

Certifications & Qualifications

• Master’s Education

Industry Keywords

• Fraud Mitigation
• Cross-Functional Teams
• Structured Data
• Unstructured Data
• Emerging Trends