Data Scientist - Veterans Affair

OneGlobe • Washington, DC

5d

About The Position

Leads data science efforts, working closely with clients and data to understand mission and data. Develops algorithms leveraging modern data science technologies including reinforcement learning systems, machine learning and more. Ability to analyze and profile varied related and unrelated data sets. Provides clients with technical expertise for a project or program. Manage technology projects or lead technology solutioning. Provides highly technical and specialized guidance and solutions to complex IT problems; performs elaborate analyses and studies. Evaluates, recommends, and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency. Develops IT strategies to ensure the systems meet existing and future requirements based on needs and regulations. Works in a variety of environments and has excellent verbal and non-verbal communication skills.

Requirements

• Must be a U.S. Citizen to obtain a VA security clearance
• At least 5 years of experience developing in languages commonly used for data analysis such as Python, R, Julia, or SAS
• Experience working with multiple database types such as SQL, Redis and MongoDB
• Experience configuring and working in cloud-native environments to execute data science activities including data preparation, analysis, and model development, training, and deployment.
• Experience building and integrating 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
• Familiarity with KubeFlow and/or MLOps
• 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.
• Ability to work efficiently with a geographically distributed team using virtual collaboration tools

Responsibilities

• Leads data science efforts, working closely with clients and data to understand mission and data.
• Develops algorithms leveraging modern data science technologies including reinforcement learning systems, machine learning and more.
• Analyzes and profiles varied related and unrelated data sets.
• Provides clients with technical expertise for a project or program.
• Manages technology projects or leads technology solutioning.
• Provides highly technical and specialized guidance and solutions to complex IT problems; performs elaborate analyses and studies.
• Evaluates, recommends, and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency.
• Develops IT strategies to ensure the systems meet existing and future requirements based on needs and regulations.
• Works in a variety of environments and has excellent verbal and non-verbal communication skills.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed