Top Data Science Jobs in Baltimore, MD

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Data Scientist, you'll build production-grade ML systems for HVAC efficiency, working on scaling models, database optimization, and real-time monitoring systems.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

Drive analytics and measurement for AI product adoption and impact. Build agentic analytics, small language models, predictive models, and customer-facing insights. Design and run experiments (A/B tests, causal inference), ship production models, and translate ambiguous business questions into actionable recommendations used by product, sales, and leadership.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

Design, train, validate, and deploy traditional ML models and feature pipelines within Microsoft Fabric/Databricks. Partner with Data Engineers to optimize Medallion layers for model training and inference, implement MLOps (model registry, monitoring, retraining), perform EDA on large enterprise datasets, translate analytics to business insights, and document algorithm governance and fairness.

As a Data Scientist, you'll analyze and interpret complex data sets, develop algorithms, and work with clients to provide actionable insights, utilizing tools from machine learning and AI.

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

The Data Scientist will develop advanced NLP solutions, evaluate model performance, and collaborate on production system integrations for language data processing.

The Data Scientist will develop data-driven solutions, integrate APIs, manipulate data using Python, analyze large datasets, and collaborate with teams.

The Data Scientist will design and develop NLP and NER models, validate ML models, and ensure compliance for AI solutions, focusing on unstructured data processing.

Design and apply statistical, mathematical, and computational methods to extract value from large, messy datasets. Build, evaluate, and communicate analytic and ML models, translate mission needs into technical requirements, and recommend solutions while explaining results to non-technical stakeholders.

Develop and maintain Python-based tools and APIs to retrieve, process, aggregate, and analyze complex mission datasets. Apply AI/ML to optimize workflows, automate data-processing pipelines, produce geospatial visualizations, and build reusable analytical capabilities while collaborating with analysts, engineers, and mission stakeholders.

Design, implement, train, evaluate, optimize, and deploy advanced AI/ML solutions including Agentic AI, RAG, and LLMs for constrained/edge environments; translate mission stakeholder requirements into scalable, resource-aware models and recommend performance improvements.

Support critical mission systems by scoping analytical projects, developing workflow use cases, building metrics, dashboards, and visualizations, analyzing operational data for trends and improvements, and collaborating with policy and decision-making stakeholders to translate mission needs into actionable solutions.

Apply statistical, predictive, and AI/ML techniques to large-scale datasets: design, train, evaluate, deploy models; build data visualizations and analytical products; process data on distributed and cloud platforms; collaborate with stakeholders to deliver operational analytic solutions.

Design and implement scalable ETL pipelines and incremental/batch data ingestion. Perform data transformation, validation, modeling, and preprocessing using Python and SQL. Build reusable Python automation packages, automate reporting and dashboards, and document data pipelines and technical procedures.

Provide advanced discovery support using machine learning, statistical analysis, scripting, automation, and TechSIGINT tools. Develop analytical prototypes, create data visualizations, automate workflows, and collaborate with analysts and mission stakeholders to identify patterns and drive investigations.

Support CNO mission areas by applying AI/ML and Python to develop automation and analytical workflows, perform collection processing and data analysis, create and maintain Jupyter Notebooks for prototyping, and collaborate with technical and operational stakeholders while rapidly adapting to changing mission priorities.

Analyze large-scale datasets; design, develop, evaluate, and deploy AI/ML and predictive/statistical models; build data models, visualizations, and automated analytical workflows; process data using Spark and cloud platforms; apply TechSIGINT tools and provide discovery-focused analytical prototyping.

Design and automate scalable ETL/ELT and reporting workflows, perform data cleansing/validation/transformation, build reusable Python automation and SQL data-processing pipelines, support dashboard automation, improve data quality and reliability, and document data flows and processes.

Develop NLP and NER capabilities for LLM-based, Agentic AI solutions (e.g., LangGraph). Train and validate supervised and unsupervised models, build preprocessing and data-retrieval pipelines, perform automated knowledge extraction from multilingual unstructured text, integrate customer data sources, and ensure data quality, governance, and policy compliance to meet organizational and end-user needs.

Develop and improve NLP solutions for spoken and written language data, including automated tokenization and linguistic annotation, analyze speech/text datasets, evaluate model performance against human annotations, and document methods and recommended improvements.

Provide advanced discovery and analytical support using machine learning, statistical analysis, scripting, automation, and TechSIGINT tools. Develop analytical prototypes, create data visualizations, document methods and collaborate with analysts and engineers to support mission-focused discovery efforts and adopt new analytical technologies.

Perform advanced data science and machine learning on large NSA/CSS datasets. Design, implement, and validate analytic models, manage and curate data, extract actionable insights, and communicate technical conclusions to non-technical stakeholders. Translate mission needs into technical requirements while staying aware of collection and processing constraints.