Data Scientist

Department: Data Analysis and Technology Services

Employment Type: Full Time

Location: WMA

Key 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

What We Offer You

• Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
• Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
• Dedicated Training Budget: Supporting continuous learning and professional development.
• 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
• 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
• 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
• 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
• Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.