Job Title: Senior Data Scientist
Location(s): Springfield, VA
Workplace: On-site
Clearance Required: TS/SCI with willingness to sit for CI Polygraph

POSITION OVERVIEW:

We are seeking a talented and motivated Senior Data Scientist with expertise in statistical analysis, artificial intelligence and machine learning, to join our team. In this role, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges for our customers within the U.S. Intelligence Community. In addition, were looking for someone interested in growing as a leader.

POSITION REQUIREMENTS:

Required Clearance: TS/SCI with willingness to sit for CI Polygraph
Required Education: Bachelor’s degree in a relevant field

REQUIRED SKILLS / EXPERIENCE:

• 6+ years of Data Science experience
• 3+ years of experience with a programming language, preferably Python
• 3+ years of experience with a querying language, preferably SQL
• Experience in AI/ML/DS
• Excellent communication skills with experience briefing/presenting to senior leaders
• Ability to manage multiple simultaneous technical projects

PREFERRED SKILLS AND QUALIFICATIONS:

• Master’s degree in a relevant field with 4+ years of experience
• Database management
• A continuous learning mindset
• Team leadership experience
• Good interpersonal skills - ability to build strong relationships with customers, teaming partners, and co-workers

• Support client 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, data mining, and visualization. Conduct gap analysis on existing technologies and processes.
• Provide communication to customers on the progress for projects, processes, and emerging technologies as they become available.
• Clearly communicate data-driven findings and automation to technical and non-technical audiences.
• Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology.
• Train and integrate new tools, processes, and capabilities to be used in collection orchestration.
• Provide support for emerging requirements as assigned by the government.