Top Data Science Jobs in Baltimore, MD

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

Seeking a Senior Data Scientist to analyze user behavior, collaborate with teams, develop metrics, and drive analytical priorities in a two-sided marketplace.

Lead design and implementation of safety and alignment architectures for agentic AI systems; develop monitoring, reward modeling, and human-in-the-loop evaluation; partner with cross-functional teams for responsible deployment; publish research; identify and mitigate failure modes and set safety milestones for production readiness.

The Sr. Data Scientist will optimize risk solutions using machine learning and statistical methods, develop models, mentor juniors, and collaborate with stakeholders on credit risk management.

Lead advanced analytics efforts to extract value from large, complex NSA/CSS datasets. Design and implement ML/AI models, statistical analyses, data management and reproducible workflows. Translate mission needs into technical requirements, communicate results to nontechnical stakeholders, and recommend solutions aware of NSA/CSS capabilities and limits.

The Senior Data Scientist will develop machine learning models, conduct A/B tests, and work with behavioral data to enhance customer engagement and partner ROI.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

Lead development of data structures, analyze health data, create whitepapers, and collaborate with cross-functional teams on clinical research.

As a Senior Data Scientist, you will own data, collaborate with engineers and stakeholders, and build tools for analytics and dashboards to inform business decisions.

As a Data Engineering Analyst Lead/Scientist, you will engineer consumer attributes, apply statistical techniques, monitor performance, and collaborate with teams to enhance credit lifecycle decision-making.

The role involves collaborating across departments to build AI-driven models, optimizing data for decision support, and developing scalable solutions for business growth.

Lead end-to-end data science projects: problem framing, EDA, feature engineering, modeling, deployment, monitoring, and technical debt remediation. Build production solutions on Databricks, apply CI/CD and testing, mentor teammates, own quality/governance, and help shape the data/ML platform strategy.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, developing solutions and collaborating across teams.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

The role involves building end-to-end modeling pipelines, developing models, delivering insights to stakeholders, and collaborating with a technical team in a fast-paced environment.

Lead the design and implementation of AI-driven search algorithms and models. Collaborate with teams to optimize search performance and personalize user experiences. Mentor junior staff and stay updated on latest AI advancements.

Lead the end-to-end data and model lifecycle, mentor team members, and drive AI/Data Science practices on Databricks to enhance investment decisions.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, implement RAG and agent workflows, apply ML and statistical methods (DoE, Bayesian optimization, causal/survival/longitudinal), analyze RWE/RWD, and integrate insights across clinical, regulatory, and product teams to drive diagnostic and business impact.

Lead development and operationalization of LLMs, agentic and image AI solutions; build multimodal datasets; develop production-grade models, RAG pipelines and agent workflows; run RWE analytics and Bayesian optimization for assay/R&D acceleration; deploy solutions on Azure/Snowflake/Databricks and integrate insights into clinical, regulatory, and product programs.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, develop production-grade models and RAG/agent pipelines, perform RWE analytics, and integrate insights across clinical, regulatory, R&D, and product teams to drive diagnostic performance and patient impact.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

Drive identity verification initiatives by building AI/ML models to detect fraud, optimize processes, and provide analytical insights for improvements.