Data Scientist
Full TimeJob Overview
REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time, onsite in the Washington Metro Area
CONTINGENT POSITION
We’re seeking a talented Data Scientist to join our team and help transform complex data into actionable insights. In this role, you’ll leverage advanced analytics, machine learning, and statistical modeling to solve challenging problems, uncover trends, and guide strategic decision-making. If you’re passionate about turning raw information into powerful stories that shape the future, this is your chance to make a meaningful difference.
LOCATION: Full-time, onsite in the Washington Metro Area
CONTINGENT POSITION
We’re seeking a talented Data Scientist to join our team and help transform complex data into actionable insights. In this role, you’ll leverage advanced analytics, machine learning, and statistical modeling to solve challenging problems, uncover trends, and guide strategic decision-making. If you’re passionate about turning raw information into powerful stories that shape the future, this is your chance to make a meaningful difference.
With a competitive salary range and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!
Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Key Responsibilities
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have demonstrated experience with the following responsibilities:
- Design and implement ETL workflows using Python, SQL, and NiFi to ingest and transform complex datasets
- Integrate disparate data sources into cloud-based analytic environments and production systems
- Clean and preprocess structured and unstructured data for downstream analysis and modeling
- Maintain and optimize data pipelines for real-time and batch processing
- Analyze large volumes of raw data to identify trends, patterns, and business insights
- Apply statistical and qualitative methods to support enterprise-level decision-making
- Generate ad hoc metrics reports and contextual products for technical and non-technical audiences
- Conduct data triage and feature engineering to support investigative and operational missions
- Build dashboards and visualizations using Tableau, Tableau Prep, Power BI, and Excel
- Create briefing decks and interactive reports to communicate findings to senior leadership
- Develop user-friendly visual products that simplify complex data relationships
- Support accessibility and usability standards in all reporting outputs
- Perform NLP tasks using Spacy, NLTK, Gensim, and HuggingFace Transformers
- Build machine learning models for text classification, topic modeling, and semantic search
- Apply encoder-decoder and generative language models using PyTorch, TensorFlow, or Keras
- Tune LLMs on custom datasets and evaluate model performance for mission-specific use cases
- Query and manage relational databases using SQL, Oracle, PostgreSQL, and MySQL
- Design logical data architectures and implement scalable storage solutions
- Develop PL/SQL scripts, triggers, and stored procedures for secure data operations
- Work with Elasticsearch and NoSQL systems for search and discovery applications
- Deploy and manage data science environments in AWS and Azure
- Build and maintain CI/CD pipelines using GitHub, Jenkins, and Confluence
- Automate data preparation and provisioning using cloud-native scripting tools
- Interface with cloud compute resources to support scalable analytics
- Coordinate across offices to identify, acquire, and integrate new data sources
- Track metadata, collection timelines, and data integrity across enterprise systems
- Liaise with external partners to support data exploitation and mission alignment
- Translate business needs into technical requirements and data strategies