Top Data Science Jobs in Baltimore, MD

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

As a Data Scientist Level 3, you will apply data science expertise to national security challenges, develop analytical tools, and communicate insights effectively to diverse audiences.

As a Data Scientist, Level 3, you'll leverage Python to automate workflows, perform data manipulation, and create visualizations, applying advanced analytics to complex datasets and communicating insights to varied audiences.

The internship offers military service members civilian work experience in data science through data analysis and related skillsets over 90-180 days.

GliaCell seeks a Data Scientist with experience in software development and strong communication skills. Responsibilities include data analysis, modeling, and working with government contracts. Must possess a TS/SCI clearance and programming expertise in Python and R.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

Build, enhance, and sustain Army applications integrating AI-enabled analytics and Vantage; perform data mining, preprocessing, and modeling; develop and maintain Microsoft 365 SharePoint sites, manage permissions across SharePoint/Qlik/Power Apps, refine data governance artifacts, and support verification, validation, and user issue resolution.

As a data scientist, you will analyze complex data sets, develop algorithms, and collaborate with clients to inform their decision-making processes.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

The Senior Data Scientist will develop data pipelines for AI applications, optimize data structures, manage databases, and ensure data quality and security.

Lead technical design and implementation of large data and software solutions, define architecture and standards, mentor developers, consult with customers on feasibility and requirements, integrate emerging technologies, deliver product demonstrations, and support end-to-end projects—applying machine learning and defensive cyber operations expertise in secure environments.

The Data Scientist / Engineer will design, develop, and deploy scalable AI data solutions, build and operationalize ML models, conduct data analysis, and ensure alignment with mission objectives while collaborating across teams.

The Data Scientist will design and deploy AI-enabled data solutions, developing data pipelines and collaborating with teams to transform data into insights.

Provide defensive cyber operations support to USCYBERCOM by developing ML and statistical models, curating diverse data sources, deploying models to production, collaborating with analysts and developers, documenting processes, and researching data science tradecraft.

Develop and deploy machine learning and statistical models to support defensive cyber operations. Curate and integrate diverse data sources, automate anomaly detection, evaluate model performance, and collaborate with analysts and developers to operationalize analytics for USCYBERCOM.

Develop and deploy machine learning and statistical models to support defensive cyber operations for USCYBERCOM. Curate and integrate diverse data sources, prototype analytic capabilities, monitor model performance, and collaborate with analysts and developers to productionize solutions. Document processes and maintain configuration management for datasets.

Perform network exploitation and offensive cyber operations, build rapid analytic methodologies and tools, analyze adversary tactics, develop data visualizations, automate analytics with developers, conduct gap analysis, and advise on comprehensive data strategy to support intelligence missions.

The Data Scientist 2 role involves expertise in AI/ML, proficiency in Python, and contributions to data processing, modeling, and analysis to derive meaningful insights from large datasets.

This role involves developing NLP solutions for language data, evaluating models, and enhancing data processing capabilities in a national security context.

Support national security operations by applying machine learning, statistical analysis, and scalable data processing to large datasets. Build automated pipelines, curate and transform data, develop and refine analytical algorithms and models, create visualizations and dashboards, and translate mission requirements into reproducible analytics to inform stakeholders.