Data Scientist

We are recruiting for a Data Scientist to support the Department of Veteran Affairs (VA) AI Pilot Teams! As a Data Scientist you will:

• Leads data science efforts, working closely with clients and data to understand mission and data.
• Develops and trains AI/ML models
• Develop, build, and implement new predictive, statistical, or AI/ML models, and refine existing models to improve their accuracy and robustness.
• Prepare detailed documentation for models, outlining their methodology, data sources, assumptions, limitations, and validation results for regulatory and internal review.
• Clean, transform, and analyze large datasets to identify patterns, derive key risk drivers, and prepare structured inputs for model development.
• Conduct testing, benchmarking, and sensitivity analyses to evaluate model performance, assess model risks, and ensure compliance with internal and regulatory standards.
• Evaluates, recommends, and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency.
• Works in a variety of environments and has excellent verbal and non-verbal communication skills.
• Works effectively and independently.

• 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 at least one of the following methodologies. Finite Markov Decision Processes, Support Vector Machines, Q-Learning, Stochastic Finite State Machines, MCTS or other hybrid Deep Reinforcement Learning processes
• 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 building and integrating the at the application and database level
• Experience developing REST/SOAP APIs and messaging protocols and formats
• Experience implementing event/data streaming services such as Kafka
• Experience prototyping front-end visualizations utilizing data visualization suites such as Kibana or Splunk
• Experience in theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
• Experience working with large-scale data sets.
• Experience with the BrownMM DevSecOps toolchain is a plus
• Experience producing data visualizations for a variety of different audiences.
• Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.

Connected Logistics respects the need for confidentiality for all applicants.

Connected Logistics offers an excellent benefits package that includes health, dental, vision, life and disability insurance, a great 401(k) package, and generous Paid Time Off.

EQUAL OPPORTUNITY EMPLOYER. It is our policy to abide by all federal, state and local laws prohibiting employment discrimination solely on the basis of a person's race, religious creed, color, national origin, ancestry, physical disability, mental condition (including, but not limited to, cancer related or HIV related), marital status, sex, gender (including sex stereotyping), age, sexual orientation, military status, or any other protected status except where a reasonable, bona fide occupational qualification exists