Top Data Science Jobs in Baltimore, MD

The role involves managing AI and Generative AI projects, leading teams, and leveraging advanced analytics to solve complex business problems, ensuring quality and client satisfaction.

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

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

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

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.

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 Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

Lead the delivery of machine learning models and algorithms to solve business problems, focusing on data-driven insights primarily in sales and marketing.

The Data Scientist 2 will support the Model Management team by analyzing datasets, developing analytics, and building predictive models using Python, R, and machine learning frameworks.

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.

Responsible for designing and implementing automated data processing solutions, focusing on scalable ETL workflows, data ingestion, and reporting to support operational 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 design and develop NLP and NER models, validate ML models, and ensure compliance for AI solutions, focusing on unstructured data processing.

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

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 leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

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.

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 role involves analyzing complex datasets, developing models, and communicating findings to stakeholders, supporting mission needs through teamwork and data-driven insights.

The AI Data Scientist will engage in the entire data science lifecycle, developing AI solutions on Databricks to improve investment decisions and collaborating with business partners.