Top Data Science Jobs in Baltimore, MD

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

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

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The Senior Data Scientist will design and implement machine learning solutions, conduct advanced statistical analyses, and manage data-related tasks, requiring a high level of expertise.

The position involves unlocking insights from data sets using IoT and AI, developing algorithms, and collaborating with clients to solve data-driven problems.

The Data Scientist will apply data science and machine learning to support missions, develop software solutions, and enhance data insights.

Develop machine learning and statistical algorithms for data analysis, report findings, and automate analytics while complying with federal contract requirements.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

The Data Scientist will apply AI/ML techniques to optimize workflows in Computer Network Operations, analyze datasets, and develop data-driven solutions. Responsibilities include collaboration, documentation, and adapting to dynamic mission needs.

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.

Responsible for designing and implementing automated data processing solutions, focusing on scalable ETL workflows, data ingestion, and reporting to support operational needs.

The Senior Data Scientist will evaluate the quality of datasets, analyze trends, and provide insights to inform decisions for data procurement and operating missions in national security settings. Responsibilities include developing visualizations, supporting metric refinement, and partnership for mission alignment.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The Data Scientist Level 4 develops strategies to extract insights from large datasets, utilizing advanced analytics and machine learning techniques. Responsibilities include statistical analysis, modeling, and effectively communicating findings to non-technical audiences.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and apply machine learning to solve critical business problems across various sectors while collaborating with clients to provide actionable insights.

The Data Scientist will lead a team, design solutions using Databricks, analyze data models, and support IT modernization efforts.

The Data Scientist will facilitate the adoption of NEXUS by deploying use cases in production, benchmarking, collaborating on product insights, and managing customer relations across stakeholders.

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.