Peraton

Job Summary
What You'll Get To Do as a Senior Data Scientist:

• 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.

You’ll Bring These Qualifications:

• At least 8 years of experience developing in languages commonly used for data analysis such as Python, R, or SAS
• 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
• At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization
• Experience implementing event/data streaming services such as Kafka
• Experience prototyping front-end visualizations utilizing data visualization suites such as Kibana or Splunk
• 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
• Experience in theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
• Experience developing in languages commonly used for data analysis such as Python, R, Julia, or SAS
• Experience working with databases such as SQL or MongoDB.
• Experience working with large-scale data sets.
• 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.

Job Type: Full-time

Benefits:

• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Tuition reimbursement
• Vision insurance

Work Location: Hybrid remote in Reston, VA 20190