Data Scientist - Veterans Affair at ONEGLOBE LLC

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

0.0

Posted On

19 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Julia, SAS, SQL, Redis, MongoDB, Cloud-native Environments, REST/SOAP APIs, Kafka, KubeFlow, MLOps, Kibana, Splunk, Reinforcement Learning, Machine Learning

Industry

IT Services and IT Consulting

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

Responsibilities

Lead data science efforts by developing algorithms and reinforcement learning systems to solve complex IT problems for clients. Manage technology projects and develop IT strategies to ensure systems meet regulatory and performance requirements.