Data Scientist

Data Scientist (Mid-Level – DA II / DA III)

Clearance Required:
Interim Secret or Higher

Location: Remote / Hybrid (Client Dependent) Work location is hybrid including majority remote with meetings in Tysons Corner and Crystal City.

Employment Type: Full-Time

Immediate Hiring Need – Data Scientists Supporting Advanced Analytics, AI, and Machine Learning Initiatives

We are seeking highly skilled Data Scientists (DA II / DA III) to support enterprise data analytics, machine learning, artificial intelligence, and predictive modeling initiatives within the Advana platform. This role is ideal for professionals with experience developing production-ready machine learning solutions, leveraging large-scale data platforms, and transforming complex datasets into actionable insights that support mission-critical decision-making.

The selected candidates will work alongside data engineers, analysts, and stakeholders to develop predictive analytics solutions, automate business processes, and deliver advanced AI capabilities supporting Federal and Department of Defense (DoD) missions.

Position Responsibilities

• Collaborate within cross-functional teams to identify, design, and implement enterprise-level machine learning and predictive analytics solutions.
• Develop and deploy supervised and unsupervised machine learning models to support business and mission requirements.
• Build predictive modeling solutions utilizing classification, regression, clustering, and statistical analysis techniques.
• Design and implement automated time-series forecasting pipelines within Databricks on the Advana platform.
• Develop Natural Language Processing (NLP) solutions utilizing Large Language Models (LLMs) for text extraction, entity recognition, classification, and analysis of unstructured data.
• Train and deploy deep learning and computer vision models supporting document verification, compliance monitoring, and automated control testing.
• Manage production MLOps life cycles, including model deployment, monitoring, optimization, and maintenance.
• Integrate machine learning outputs into visualization and analytics platforms such as Qlik Sense and Palantir Foundry.
• Perform feature engineering, model validation, hyperparameter tuning, and model performance optimization.
• Support cloud-based analytics and AI initiatives utilizing Databricks and Apache Spark.
• Collaborate with business stakeholders to translate mission requirements into scalable analytics solutions.
• Develop technical documentation and communicate analytical findings to technical and non-technical audiences.

Required Qualifications

Experience

• Experience collaborating within cross-functional teams on the Advana platform to identify, design, and execute enterprise-level machine learning and predictive analytics solutions.
• Experience deploying supervised classification and regression models, including gradient-boosted decision trees.
• Experience developing predictive analytics solutions to automate business processes and improve decision-making.
• Experience engineering automated time-series forecasting pipelines utilizing Databricks.
• Experience building NLP pipelines using Large Language Models (LLMs) to process and classify large volumes of unstructured data.
• Experience training and deploying deep learning and computer vision models.
• Experience managing production MLOps life cycles and model deployment processes.
• Experience integrating machine learning outputs into business intelligence and visualization platforms.

Programming Skills

• Advanced proficiency in Python.
• Strong SQL development and query optimization skills.
• Databricks (Lakehouse, Autoloader).
• Apache Spark (PySpark).
• Palantir Foundry (Ontology Development).

Machine Learning & Statistical Modeling

• Supervised Learning.
• Unsupervised Learning.
• Classification.
• Regression.
• Statistical Inference.
• Dimensionality Reduction.

Natural Language Processing (NLP)

• Named Entity Recognition (NER).
• Topic Modeling (LDA, NMF).
• Text Extraction.
• Sentiment Analysis.
• Language Modeling.
• Image Annotation.
• Qlik Sense.

Additional Skills

• Strong analytical and problem-solving abilities.
• Experience working with large-scale datasets and distributed computing environments.
• Ability to communicate…