Data Scientist - Senior

GRVTY•Springfield, VA

About The Position

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing large structured and unstructured datasets who will use their technical expertise, mission knowledge, and customer-centric focus to create and deliver advanced analytic solutions, automation, machine learning models, and compelling data-driven visual products. This is a mission-driven opportunity to support our government customer, with downstream impact to mission partners across the Intelligence Community (IC) and the Department of War (DOW). The Senior Data Scientist will work closely with customer stakeholders, team leads, analysts, and visualization experts to understand complex challenges and develop innovative solutions that blend operational mission support with business analytics. This role will uncover key insights, identify trends, and transform complex data into actionable discoveries that inform mission execution and strategic decision-making. As a technical leader and Subject Matter Expert (SME), this individual will help architect and deliver advanced analytics, AI/ML capabilities, automated workflows, and custom visualizations. The role will also support modernization and division-wide rebranding efforts by creating impactful products and capabilities that enhance both mission effectiveness and business performance.

Requirements

Active TS/SCI clearance with the ability to obtain and maintain a CI Polygraph.
Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS.
Expert-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
Demonstrated experience creating highly customized visualizations and analytic applications to meet unique operational and business requirements.
Demonstrated experience automating analytic and business processes using Python and related technologies.
Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets.
10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, and business analytics. A combination of experience, professional certifications, and technical training may be considered in lieu of some years of experience.
Experience supporting Intelligence Community operations.
Demonstrated experience in data mining and developing, maintaining, and manipulating databases.
Experience identifying and implementing system enhancements, new capabilities, concept demonstrators, and modernization initiatives.
Knowledge of advanced analytic methodologies and experience implementing them to support mission and business objectives.
Strong written and verbal communication skills with the ability to explain complex technical concepts in a clear and understandable manner.

Nice To Haves

Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Geographic Information Systems, or a related technical discipline.
Experience supporting National Geospatial-Intelligence Agency (NGA) or other GEOINT-focused organizations.
Advanced data visualization experience involving network analytics, graph analytics, matrix analytics, and common operational picture development.
Experience writing and optimizing SQL to query, transform, and analyze large datasets.
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Familiarity with cloud computing, containerization, and DevSecOps practices.

Responsibilities

Leverage customer-specific Esri ArcGIS Enterprise portals (similar to Safehouse and ICGIS) to analyze and derive insights from the customer’s databases, identify opportunities for increased efficiency, and develop visualizations and automation solutions that enhance both mission operations and business analytics.
Design and build highly customized visualizations, dashboards, and interactive applications using Python libraries such as Pandas, NumPy, Matplotlib, Plotly, Dash, and Bokeh.
Create bespoke visualization products that provide critical operational insights and support both business analytics and mission decision-making.
Develop automation solutions that streamline workflows, reduce manual effort, and improve the delivery of analytic and business intelligence products.
Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and predictive solutions to identify patterns, relationships, and trends within diverse datasets.
Capture and communicate key insights through business analytics, identifying trends, performance indicators, and actionable discoveries that support strategic decision-making.
Work hand in hand with team leads, analysts, and visualization experts to support division-wide rebranding efforts and enhance the presentation and delivery of mission products.
Work with large structured and unstructured datasets in analytical and modeling environments to solve complex operational and intelligence challenges.
Lead and participate in the design of innovative solutions and refinement of existing analytic processes and workflows.
Translate customer requirements and mission challenges into actionable technical solutions, timelines, and resource plans.
Develop and maintain automated data processing pipelines and repeatable analytic workflows.
Conduct peer reviews to improve the quality of methodologies, procedures, and technical solutions.
Mentor team members and help build high-performing technical teams.
Present technical findings and recommendations to both technical and non-technical stakeholders.