Data Scientist - TS/SCI

Parsons Corporation•Tampa, FL

2d•$112,200 - $196,400

About The Position

Parsons is seeking an exceptionally talented Data Scientist to join our innovative team! In this role, you will contribute to the development, integration, analysis, and visualization of complex data supporting Department of Defense (DoD) and mission-critical environments. You will leverage statistical analysis, data mining, programming, business intelligence, and data visualization techniques to transform structured and unstructured data into actionable insights. This position supports the entire data lifecycle, including ingestion, extraction, transformation, validation, analysis, visualization, and reporting.

Requirements

Must be a U.S. Citizen.
Must have an active TS/SCI clearance.
Bachelor’s degree in Data Science, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Engineering, or a related technical discipline. Additional years of experience may be considered in lieu of a degree.
7+ years of relevant professional experience in data science, data analytics, business intelligence, data engineering, or a related technical discipline.
Proven experience developing data analysis solutions using Python and SQL.
Experience designing and maintaining ETL/data movement processes for data warehouse or enterprise environments.
Expertise in analyzing datasets to identify trends, relationships, anomalies, inconsistencies, and data-quality issues.
Experience developing dashboards and visual analytics using Power BI, Tableau, DOMO, or similar BI technologies.
Experience integrating data from databases, APIs, cloud applications, and enterprise systems.
Proficiency in performing descriptive and statistical analysis on complex datasets.
Experience developing or supporting statistical models for data analysis.
Ability to collaborate with stakeholders to identify analytical requirements and translate them into technical solutions.
Strong communication skills for presenting analytical results and translating complex data into actionable information.
Experience automating manual or repetitive data-processing activities.

Nice To Haves

Experience supporting DoD, Intelligence Community, Federal Government, or other mission-critical environments.
Experience working with large or complex enterprise datasets.
Familiarity with Microsoft Power Platform, including: Power BI, Power Automate, Power Apps, SharePoint
Experience developing scalable data integrations using APIs.
Experience with Python-based API integration and automation.
Experience with Microsoft SQL Server technologies (SSMS, SSRS, SSDT).
Experience with Tableau, DOMO, or comparable visualization platforms.
Proficiency in R for statistical analysis.
Experience with C# or other object-oriented programming languages.
Advanced Excel analytics skills, including formulas, PivotTables, VBA, and data analysis.
Experience working in Linux environments.
Experience supporting enterprise data architectures and data warehouses.
Experience developing repeatable and automated data pipelines.
Familiarity with predictive analytics and model development.
Understanding of object-oriented programming concepts.
Experience working with financial, operational, or mission datasets requiring reconciliation and validation.
Ability to rapidly learn and apply emerging data technologies.
AWS data or analytics certification.
CompTIA Security+ certification.
Comparable data science, analytics, cloud, or cybersecurity certification.

Responsibilities

Collect, ingest, process, transform, and analyze structured and unstructured data from diverse sources.
Develop Python scripts and analytical workflows for end-to-end data analysis.
Create and execute SQL queries for data extraction, transformation, validation, and analysis.
Design and maintain ETL processes to support enterprise data warehouse environments.
Analyze large datasets to identify patterns, trends, correlations, anomalies, and actionable insights.
Perform descriptive, inferential, and predictive analyses.
Research, develop, evaluate, and refine statistical models for data analysis.
Develop interactive dashboards, visualizations, reports, and analytical products.
Build Power BI or comparable BI solutions to translate complex datasets into mission-relevant information.
Evaluate and improve data quality by identifying discrepancies, missing information, inconsistencies, and anomalies.
Automate data-processing and analytical tasks to increase efficiency.
Integrate data from enterprise applications, APIs, databases, and other authoritative sources.
Develop scalable and repeatable data integration solutions.
Collaborate with stakeholders to identify mission requirements, key performance indicators, analytical questions, and desired outcomes.
Translate mission and operational requirements into technical data requirements and analytical methodologies.
Communicate analytical findings to both technical and non-technical stakeholders.
Develop technical documentation describing data sources, methodologies, pipelines, models, and products.
Support testing and validation of analytical products and data solutions.
Assist with implementation and sustainment of enterprise data and analytics capabilities.
Ensure data solutions comply with cybersecurity, information assurance, and DoD data-handling requirements.