Mid-Level Data Scientist

Fairygodboss; Springfield (VA); On-site; USD 85,000 - 110,000; Full time

Job summary

COMFORT SYSTEMS is seeking a Mid-Level Data Scientist to join our team in Springfield, VA. This position involves collecting, processing, and analyzing data to drive mission improvement in Maritime Features. Candidates should have a BA or Master’s in a relevant field with 2-8 years of experience, including skills in Python, SQL, and data visualization tools like Tableau. A TS/SCI clearance is required. The role offers opportunities to impact decision-making through actionable intelligence.

Qualifications

• Typically requires a BA degree and 4–8 years of prior experience.
• 1–3 years in data science, including data collection, processing, and analytics.
• 1–3 years of experience using Tableau or equivalent Business Intelligence software.

Responsibilities

• Collect, process data and perform data analysis.
• Integrate, protect, and maintain data in DBMS.
• Write/maintain Python scripts in ArcGIS.

Skills

Data collection

Data processing

Data analysis

Python programming

SQL querying

Visualization (Tableau)

Geospatial data management

Business Analytics

Education

BA degree or Master's degree in a relevant field

Tools

Tableau

ArcGIS

Git

ESRI Workflow Manager

Job description

Leidos is actively interviewing for a Mid‑Level Data Scientist to join our team in Springfield, VA.

This team member will collect, process, and perform data analysis and deliver data‑driven solutions to quantitatively improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.

We’re looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.

Primary Responsibilities

• Collect, process data and perform data analysis.
• Integrate, protect and maintain data in DBMS.
• Clean, massage and organize data.
• Perform ad hoc analysis and present results in a clear manner.
• Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
• Assist with creation/deployment/maintenance of cloud applications to support migration of data and production processes.
• Assist with creation/maintenance of tools to extract feature data and meta‑data from a variety of sources, including Raster to vector, vector‑to‑text, text to vector and text database.
• Write/maintain Python scripts in ArcGIS to improve efficiency of the production process.
• Assist in providing support to Business Processing Re‑engineering.
• Perform data conversion/migration.
• Assist with development and performance of automated Business Analytics.

Basic Qualifications

• Typically requires a BA degree and 4–8 years of prior relevant experience or Master’s with 2–6 years of prior relevant experience.
• 1–3 years of experience in data science, including the areas of data collection, processing, exploitation, transformation, services, modeling, and analytics.
• 1–3 years of experience using Tableau or equivalent Business Intelligence software and software server functions.
• 3–5 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and Java, and familiar with querying with SQL. Knowledge and experience developing code using version control tools like Git and git‑adv, knowledge and data science, including the areas of data services, modeling, and analytics.
• Active TS/SCI clearance with ability to be approved for a CI Poly.

Preferred Qualifications

• 1–3 years of demonstrated experience performing geospatial data management, including data type conversions and coordinate systems in latitude/longitude and UTM and their conversions, and knowledge of projections and their properties/conversions.
• Experience in combining digital cartography, computer technology, GIS cartographic and geospatial production techniques, remote sensing photography and digital data formats.
• Experience building dashboards/websites portraying data analytics.
• Experience cleansing, structuring large sets of data.
• Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and opportunities.
• Knowledge of ESRI, ArcGIS/ArcPro and ArcServer.
• Experience with ESRI Workflow Manager, WMX and TAM.
• Knowledge of database systems and architecture.
• Ability to write SQL.
• Understanding of cloud architecture and DevOps.
• Knowledge of symbolization rules.
• Knowledge of generalization rules.
• Experience working with geospatial data in a multi‑user enterprise environment.
• Minimum 2 years of experience working with data quality control tools, including ArcGIS Data Reviewer.
• Knowledge of metrics dissemination.
• Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
• Ability to convert structured data into structured formats.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant laws. Leidos is an equal opportunity employer, including for disabilities and veterans.