Lead data science efforts, working closely with clients and data to understand mission and data
Develop, build, and implement new predictive, statistical, or AI/ML models
Prepare detailed documentation for models, outlining methodology, data sources, assumptions, limitations, and validation results
Clean, transform, and analyze large datasets to identify patterns, derive key risk drivers
Conduct testing, benchmarking, and sensitivity analyses to evaluate model performance
Evaluate, recommend, and execute new technologies and updates existing infrastructure for optimal performance and efficiency
Requirements
US Citizen with ability to pass a background check through the VA
At least 8 years of experience developing in languages commonly used for data analysis such as Python, R, or SAS
At least 2 years of experience developing Reinforcement learning systems utilizing methodologies like Markov Decision Processes, Support Vector Machines, Q-Learning
At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization
Experience with Jupyter Notebooks, Python, JSON, XML, AI/ML algorithm development
Experience with Azure OpenAI, Azure AI Foundry, and/or AWS Bedrock
Experience working with multiple database types such as SQL, Redis, and MongoDB
Experience developing REST/SOAP APIs and messaging protocols
Experience implementing event/data streaming services such as Kafka
Excellent verbal and written communications skills
Tech Stack
AWS
Azure
Kafka
MongoDB
Python
Redis
SOAP
SQL
Benefits
Health, dental, vision, life, and disability insurance