Staff Data Scientist

eSimplicity•Columbia, MD

6d•$160,600 - $175,000•Remote

About The Position

We are seeking a Data Scientist to join our Data & AI team. This role will apply advanced analytics, machine learning, and artificial intelligence to large and complex datasets to identify patterns, develop predictive insights, and support high-impact decision making. The ideal candidate is a hands-on data scientist who is comfortable working directly with stakeholders, developing analytical approaches from ambiguous problems, and communicating complex findings clearly. This position is contingent upon contract award.

Requirements

All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation.
10+ years working in AI/ML, DevOps, development, IT consulting or other technology-related fields
Master’s degree, Ph.D., or equivalent advanced degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10+ years of applied experience in Data Science, Machine Learning, Computer Science, Mathematics, or a related field
Hands-on experience developing advanced AI, machine learning, predictive, and statistical models, including supervised and unsupervised approaches.
Hands-on Python experience, including Pandas.
Hands-on experience supporting semantic layer development or implementation.
Experience working in a modern cloud environment such as Azure, AWS, or GCP.
SQL experience, including SQL Server and PostgreSQL.
Experience developing and scaling natural language processing solutions.
Experience presenting analytical methods and findings to technical and non-technical stakeholders through written products, presentations, dashboards, or visualizations.
Excellent command of written and spoken English.

Nice To Haves

Ph.D. in Computer Science, Data Science, Machine Learning, Mathematics, or a related discipline.
Experience leading data architecture efforts to support machine learning implementations.
Experience supporting fraud, waste, abuse, financial-crime, or program-integrity analytics.
Experience with Microsoft Azure, including Azure Machine Learning, Synapse Analytics, AI Foundry, or AI Search.
Experience developing fraud indicators, risk-scoring approaches, anomaly-detection models, or investigative leads.
Experience with OCR, semantic similarity, entity resolution, or analysis of large unstructured datasets.
Experience integrating LLMs or retrieval-augmented generation solutions with enterprise data.
Experience developing analytical dashboards or network/link visualizations.
Cloud, AI, or machine learning certifications.

Responsibilities

Design, develop, test, and maintain advanced statistical, machine learning, and AI models.
Develop supervised and unsupervised models including regression, classification, clustering, anomaly detection, and related approaches.
Analyze large structured and unstructured datasets using Python, Pandas, and SQL.
Support development and implementation of semantic layer architectures.
Develop analytical methods, indicators, and models to identify patterns, anomalies, relationships, and potential risk.
Work directly with investigative and business stakeholders to translate questions into analytical approaches and actionable findings.
Develop and scale natural language processing solutions, including techniques such as semantic analysis, OCR, and large language models.
Develop dashboards, visualizations, and analytical products to communicate methods, findings, and recommendations.
Document analytical methodologies, model testing, assumptions, and results.
Collaborate with data engineers and technical teams to support analytics and machine learning in cloud environments.