Data Science Engineer
Role: Data ScientistCompany: Numentica LLC
Job description
We are seeking a skilled and driven Data Science Engineer to join our team focused on developing and deploying advanced fraud detection models for credit card transactions. This role will play a critical part in identifying fraudulent behavior in real-time, leveraging cutting-edge data science techniques and tools within the Azure ecosystem and Databricks environment. Key Responsibilities: • Design, develop, and deploy machine learning models to detect fraudulent credit card transactions. • Analyze large volumes of structured and unstructured data to uncover patterns, trends, and anomalies related to fraud. • Build scalable data pipelines and model training workflows using Databricks on Azure. • Work closely with data engineering and platform teams to productionalize models and monitor performance. • Continuously evaluate and refine models to improve accuracy, precision, and recall over time. • Collaborate with cross-functional teams including fraud operations, engineering, and compliance. Required Qualifications: • 7+ years of experience in data science or machine learning engineering roles. • Proven experience developing fraud detection models or working with financial transaction data. • Strong programming skills in Python and SQL. • Experience with Databricks, Spark, and Azure ML or related Azure data services. • Solid understanding of machine learning techniques including supervised/unsupervised learning, anomaly detection, and model evaluation. • Excellent analytical and problem-solving skills with a strong attention to detail. Preferred Qualifications: • Experience in the payments or financial services industry is a BIG plus. • Experience in Microsoft Fabric is a plus. • Familiarity with real-time data processing and stream analytics. • Knowledge of model monitoring, drift detection, and model retraining strategies.
Requirements
• 7+ years of experience in data science or machine learning engineering roles
• Proven experience developing fraud detection models or working with financial transaction data
• Strong programming skills in Python and SQL
• Experience with Databricks, Spark, and Azure ML or related Azure data services
• Solid understanding of machine learning techniques including supervised/unsupervised learning, anomaly detection, and model evaluation
• Excellent analytical and problem-solving skills with a strong attention to detail
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Job Type
Fulltime role
Skills required
Python, Azure
Location
Seattle, Washington
Salary
$40 - $77
Date Posted
May 21, 2025
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Numentica LLC
Numentica LLC is looking for a Data Science Engineer to develop and deploy advanced fraud detection models for credit card transactions. This role requires expertise in data science techniques and tools within the Azure ecosystem.
