Senior Data Scientist

Analytica

Senior Data Scientist supporting defense health program by developing advanced analytics and AI solutions. Collaborating with clients and cross-project teams for data-driven decision-making.

Posted 7/28/2026full-timeRemote • Virginia • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying advanced analytics, machine learning, and AI solutions, with strong proficiency in Python and SQL for data preparation and model development. Capable of collaborating across teams to translate business needs into technical solutions while ensuring the accuracy and performance of AI/ML models.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingSQL ProficiencyNatural Language ProcessingAPI Development and Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData SciencePredictive ModelingStatistical MethodsTime-Series AnalysisData PreparationETLExploratory Data AnalysisFeature EngineeringModel Evaluation

Soft Skills

Strong CommunicationProblem-SolvingCollaborationSelf-StarterContinuous Improvement

Tools & Technologies

DatabricksAWS Cloud ServicesLarge Language ModelsVector DatabasesGitAgile MethodologiesCloud-Based AI ServicesPrompt Engineering Techniques

Industry Keywords

Advanced AnalyticsAI SolutionsGenerative AIRetrieval-Augmented GenerationTechnical DocumentationSoftware Development Best Practices

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Develop and deploy advanced analytics, machine learning, NLP, and AI solutions supporting mission and client objectives.
Develop and enhance generative AI and RAG solutions using large language models, embeddings, vector databases, retrieval strategies, prompt engineering techniques, and cloud-based AI services.
Leverage modern data and AI platforms to accelerate solution delivery and operationalize machine learning capabilities.
Perform data acquisition, ETL, exploratory data analysis, data preparation, and validation activities using Python, SQL, and related technologies to support analytics and AI initiatives.
Apply statistical methods, predictive modeling, machine learning, and time-series analysis to solve complex business and operational challenges.
Develop, test, evaluate, and monitor AI/ML solutions to ensure accuracy, reliability, scalability, security, and performance in production environments.
Partner with stakeholders and clients to gather requirements, translate business needs into technical solutions, and communicate findings and recommendations to technical and non-technical audiences.
Develop and troubleshoot APIs, data services, and AI-enabled applications while supporting integration with enterprise systems and cloud platforms.
Contribute to collaborative software development using Git-based version control, code reviews, Agile methodologies, and established development best practices.
Produce technical documentation, presentation materials, implementation guidance, and knowledge-transfer artifacts to support project delivery and long-term sustainment.
Serve as an innovative technical contributor by evaluating emerging technologies, identifying opportunities to improve existing processes and solutions, and applying modern data science and AI capabilities to solve complex business problems.
Collaborate effectively across multidisciplinary teams and contribute to a culture of continuous improvement and knowledge sharing.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related technical field; Master's degree preferred.
Five or more years of experience developing data science, analytics, machine learning, or AI solutions, including experience leading technical tasks and contributing to complex projects.
Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment.
Experience designing, developing, validating, and monitoring machine learning models, including feature engineering, model evaluation, and performance optimization.
Working knowledge of modern AI and natural language processing concepts, including large language models, embeddings, vector databases, prompt engineering, retrieval approaches, and output evaluation.
Experience developing API-based solutions and integrating data, machine learning, and AI services into enterprise environments.
Experience with Databricks is preferred.
Familiarity with AWS cloud services and AI platforms such as Amazon Bedrock is a plus.
Familiarity with object-oriented structures and design (classes, inheritance, abstraction, etc).
Experience collaborating in a team development environment using Git, code reviews, Agile workflows, and software development best practices.
Strong communication and problem-solving skills with the ability to present technical concepts and recommendations to both technical and non-technical audiences.
Demonstrated ability to work independently as a self-starter, learn new technologies quickly, manage competing priorities, and communicate effectively across technical and non-technical teams.

Benefits

Comp & perks

Competitive compensation
Bonus opportunities
Employer-paid healthcare
Professional development funding
401(k) match