Data Science - Senior

GRVTY • Springfield, VA

5d

About The Position

We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

Requirements

• Active TS/SCI Clearance with ability to obtain a CI Poly
• 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
• Experience supporting IC operations
• Possess expert level knowledge to manipulate and analyze structured/ unstructured data
• Demonstrated experience in data mining and developing/maintaining/manipulating databases
• Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
• Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
• Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means
• Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
• Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
• Experienced in conducting multi-INT and technology specific research to support mission operations
• Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format

Nice To Haves

• Possess Master's degree in Data Science or related technical field
• Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
• Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
• Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
• Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
• Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Responsibilities

• Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
• Lead and participate in the design of solutions and refinement of pre-existing processes
• Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
• Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
• Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
• Research and implement optimization models, strategies, and methods to inform data management activities and analysis
• Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
• Conduct peer reviews to improve quality of workflows, procedures, and methodologies
• Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

Benefits

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level