Location: Reston, VA area with partial remote work
Nodi Solutions is a growing small business with real-world experience working with government and commercial clients in the areas of technology, engineering, strategy, and mission challenges. We have worked on more than 40 commercial projects, bringing strategy and problem-solving skills to technical and business challenges. Our government clients include the Department of Homeland Security, the U.S. Department of Veterans Affairs, and the Department of Energy/National Labs.
Position Description: Nodi Solutions has the opportunity to make a contingent hire for a contract. Nodi Solutions is seeking a Data Scientist to work with our Washington DC-based Government clients to apply data analysis solutions to enable data-driven decisions and measure success in support of strategic goals and priorities. The goal is to support strategic decision-making processes, measure the performance of business units and portfolios, and improve data management across an organization.
Responsibilities may include:
- Develop recurring analytics deliverables on time each month, and also supporting urgent ad hoc leadership requests
- Support development of data automation and modernization processes
- Design, operate, monitor, and maintain Databricks pipelines that support recurring datasets
- Apply Artificial Intelligence (AI)/Machine Learning (ML), predictive, and/or prescriptive analytics to support organization mission or operational needs
- Develop, validate, and maintain Power BI dashboards and geospatial analytics products
- Perform data ingestion, transformation, governance, security, and analytics output generation to integrate Palantir (or an equivalent AI platform) into analytics ecosystem to deliver dashboards, analytical products, and AI-enabled insights
Required Qualifications:
- U.S. Citizenship with ability to pass a background investigation
- Bachelors degree
- 8 years of experience in data science, advanced analytics, statistical modeling, or applied machine learning in enterprise or large-scale environments
- Advanced proficiency in Python and SQL, including use of scientific computing and modeling libraries (e.g., Pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow)
- Hands-on experience with Databricks for data engineering, distributed processing, feature engineering, and model development
- Experience working with large, complex, structured and semi-structured datasets in cloud-based or enterprise data platforms
- Demonstrated ability to design, validate, document, and defend analytical methodologies, assumptions, model performance, and results
- Development of predictive, descriptive, diagnostic, and prescriptive models, including forecasting, classification, clustering, and anomaly detection
- Experience leveraging LLMs and AI techniques for natural language processing, automation, and decision-support use cases
- Proficiency in data curation, transformation, and pipeline development using Python within modern IDEs (e.g., Visual Studio Code, PyCharm)
- Experience using DevOps/Git-based repositories for version control, CI/CD workflows, code review, and production deployment
- Ability to engineer scalable data workflows using Spark, Databricks notebooks, and cloud-native compute environments
- Strong experience working with relational databases and data warehousing technologies using SQL and optimized query patterns
- Experience delivering analytical insights using Power BI, Python visualization libraries, and interactive dashboards
- Experience with geospatial analytics and visualization using ArcGIS Desktop, ArcGIS Online, or similar platforms
- Ability to translate technical findings into clear, executive-level insights and decision-ready outputs
- Exposure to MLOps practices, model monitoring, retraining pipelines, and governance
- Experience contributing to enterprise analytics ecosystems integrating Databricks, BI platforms, and AI/ML workflows
- Strong oral communication and interpersonal skills
- Ability to work independently with time management skills, as well as function in a team environment
- Ability to complete high-quality, detail-oriented deliverables amid competing deadlines
- Ability to exercise initiative, resourcefulness, and tact in obtaining and analyzing information related to projects
- Ability to represent Nodi Solutions in meetings with clients to resolve complex issues and to plan and coordinate work
Desired Qualifications:
- Experience with Palantir Foundry
- Experience performing analysis of data related to the telecommunications industry
- Knowledge of the public safety community (e.g., law enforcement, firefighting, emergency medical services
Compensation: Nodi Solutions seeks to fill this position with a talented and motivated individual. Salary will be commensurate with experience. Nodi Solutions offers a competitive benefits package and the opportunity to be part of a growing small business.
Nodi Solutions LLC is an Equal Opportunity Employer. Our hiring decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class.
Job Type: Full-time
Pay: Up to $100,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Education:
- Bachelor's (Required)
Ability to Commute:
- Reston, VA 20191 (Required)
Work Location: Hybrid remote in Reston, VA 20191