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Data Scientist - Veterans Affair in Washington, District of Columbia at ONEGLOBE LLC

NewJob Function: Science
ONEGLOBE LLC
Washington, District of Columbia, 20001, United States
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Job Description

Description:
  • 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 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
  • 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

Job Location

Washington, District of Columbia, 20001, United States

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