Senior Data Scientist

The role involves collaborating with cross-functional teams to develop machine learning and data science solutions for government clients, ensuring successful project delivery through best practices in data analytics, AI, and MLOps.

Responsibilities include discovering data sources, working with data engineers on ETL processes, performing data analyses to identify patterns, and managing production-ready data science products in cloud environments.

Qualifications require a minimum of three years of experience in developing predictive models, NLP, computer vision, or anomaly detection, with proficiency in programming languages such as Python, R, Java, and SQL. A Bachelor's degree is essential, with advanced degrees preferred. Experience in Deep Learning applications using tools like TensorFlow or PyTorch is desirable.

Key skills include applying AI techniques to business problems, data analysis, model management, and cloud automation. Ability to travel and hold or qualify for a U.S. Government clearance is necessary.

Ideal candidates are adaptable, collaborative, and committed to continuous learning in a dynamic environment.