Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Deliver advanced analytics, machine learning, and investigative data assistance.

• Collaborate closely with criminal investigators, auditors, and technical stakeholders.

• Create and sustain predictive models and fraud detection strategies.

• Execute NLP solutions and analytical products aimed at detecting financial fraud.

• Convert complex datasets into actionable insights using statistical approaches.

• Examine large datasets to pinpoint fraud indicators.

• Document methodologies, models, and analytical findings in compliance with requirements.

• Work alongside Data Engineering to ensure that the system architecture is conducive to analytics.

⛳️ Requirements

• Master's degree, Ph.D., or an equivalent doctorate-level qualification in Data Science, Machine Learning, Computer Science, Mathematics, or a related discipline; or 10 years of relevant applied experience.

• At least five years of experience in developing advanced AI systems and predictive analytics models.

• A minimum of five years of experience utilizing modern analytic methodologies and statistical modeling techniques.

• At least three years of experience supporting financial fraud investigations or government oversight functions.

• A minimum of three years of experience using Python and Pandas for advanced data analysis.

• At least three years of experience working with cloud platforms such as Microsoft Azure, AWS, or GCP.

• Two or more years of experience in advanced SQL development.

• Two or more years of experience in developing and implementing NLP solutions.

🏝️ Benefits

• Current clearance or the capability to obtain a public trust clearance.