Allen Integrated Solutions LLC
Data Scientist - MID
Allen Integrated Solutions LLC, Springfield, Virginia, us, 22161
Data Scientist - MID
Location:
Springfield, VA
TS/SCI REQUIRED
Position Responsibilities :
Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.Conduct extensive collections and analytic modeling, data processing,
Required Skills.
Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
Location:
Springfield, VA
TS/SCI REQUIRED
Position Responsibilities :
Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.Conduct extensive collections and analytic modeling, data processing,
Required Skills.
Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.