Data Scientist

Data Scientist

We are seeking highly skilled Data Scientists (DA II / DA III) to support enterprise data analytics, machine learning, and artificial intelligence initiatives within the Advana platform.

The successful candidate will leverage advanced statistical modeling, machine learning, natural language processing, and deep learning techniques to develop predictive analytics solutions that drive mission outcomes, improve decision-making, and automate complex business processes.

Required Qualifications

• Active Interim Secret Clearance or higher is required

Collaborative ML Solution Delivery • Collaborated within cross-functional teams on the Advana platform to identify, design, and execute enterprise-level machine learning and predictive analytics solutions under an agile methodology

Predictive Modeling & Risk Assessment • Deployed supervised classification and regression models (including gradient-boosted decision trees) to automate high-priority risk-based sampling, improving risk detection while significantly reducing manual review workloads

Time-Series & Trend Forecasting • Engineered automated time-series forecasting pipelines in Databricks on Advana

Natural Language Processing (NLP) • Built NLP text extraction and entity-tagging pipelines using LLMs to process and classify thousands of unstructured documents on the Advana platform, translating raw text into structured data

Deep Learning & Computer Vision • Trained deep learning models to automate visual compliance checks and document verification, establishing continuous control testing and accelerating audit readiness workflows

Production MLOps & Dashboarding • Managed production MLOps lifecycles and integrated model outputs into interactive visualization tools (Qlik Sense, Palantir Foundry) to deliver actionable business insights

Technical Skills

Programming Languages • Python • SQL

Big Data & Cloud Platforms • Databricks (Lakehouse, Autoloader) • Apache Spark (PySpark) • Palantir Foundry (Ontology Development)

Machine Learning & Statistics • Supervised Learning • Unsupervised Learning • Gradient-Boosted Trees • Time-Series Forecasting (Prophet, SARIMAX, BSTS) • Classification • Regression • Cluster Analysis • Statistical Inference • Regularization • Dimensionality Reduction

Deep Learning & Computer Vision • Deep Neural Networks (CNNs, Recurrent Networks) • Object Detection • Signature Verification • Image Annotation

Natural Language Processing (NLP) • Named Entity Recognition (NER) • Topic Modeling (LDA, NMF) • Text Extraction • Sentiment Analysis • Language Modeling

Web Frameworks & Visualization • Qlik Sense • Palantir Foundry

Preferred Qualifications

• Experience supporting Federal Government, DoD, Financial Management (FM), or General Ledger (GL) data initiatives • Experience working within the Advana ecosystem • Experience developing and deploying machine learning solutions in cloud-based environments • Familiarity with agile development methodologies and DevSecOps practices

C2 Essentials is an Equal Opportunity Employer.