Data Science

Summary: The role is for a Data Scientist with 10 years of experience, focusing on fraud analytics and advanced modeling techniques. Candidates should preferably be located on the East or West Coast of the USA, excluding those based in Los Angeles, California. The position is remote and classified as outside IR35.

Key Responsibilities:

• Conduct fraud detection and mitigation using advanced analytics and modeling techniques.
• Utilize graph analytics, behavioral biometrics, and NLP in financial crime risk management.
• Build and deploy machine learning models in a production fraud detection environment.
• Work with large datasets and real-time fraud systems.
• Leverage cloud platforms such as AWS, Google Cloud Platform, and Azure.

Key Skills:

• Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.).
• Experience with fraud analytics and financial crime risk management within banking or fintech.
• Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.).
• Experience working with large datasets and technologies like Hadoop/Spark.
• Ability to build and deploy machine learning models.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT