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 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.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

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.

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 Data Scientist will analyze complex data sets, perform statistical analysis, develop machine learning models, and communicate insights to stakeholders.

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.

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

As a Data Scientist, you'll analyze complex datasets, develop algorithms, and provide insights to solve global issues using machine learning and AI.

As a Data Scientist, you'll analyze data, develop algorithms, and create predictive models to help clients make informed decisions using data science techniques.

As a Data Scientist, you'll analyze complex data sets to provide insights, develop algorithms, and guide decision-making for global challenges. You'll work in collaborative environments with clients on diverse applications from fraud detection to healthcare.

As a Data Scientist, you will analyze data to provide insights, develop algorithms, and solve complex problems using machine learning and scientific methods.

Data Scientist role focused on leveraging IoT, machine learning, and AI to analyze complex datasets for actionable insights across various sectors.

The AI Data Scientist will analyze complex national security problems, develop operational strategies, and assess AI/ML technologies, requiring extensive experience in data science and military operations.

The data scientist will analyze complex datasets using statistical methods, develop algorithms, and provide data-driven insights to support client decision-making.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

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 design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.