Top Data Science Jobs in Baltimore, MD

The role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

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 II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

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 an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

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.

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

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

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 role involves analyzing datasets, developing analytics, and building predictive models using Python, R, and machine learning frameworks. A strong background in statistics and data wrangling is required, along with proficiency in SQL and data visualization tools like Tableau.

The Data Scientist will lead analytics projects, develop machine learning models, oversee a team, and contribute to MLOps implementations for mission automation.

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 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 complex datasets, develop algorithms, and provide insights to help clients make informed decisions across various sectors.

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

The Data Scientist will develop machine learning and statistical algorithms, create visualizations, partner with SMEs, and implement analytics for large datasets while leading a team.

As a Data Scientist, you will analyze complex datasets to provide insights and support decision-making, using machine learning and AI within various sectors.

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

The role involves analyzing datasets, developing analytics, and building predictive models using programming languages like Python and R, while supporting the Model Management team.

The job involves data extraction and analysis, developing strategies for large datasets, and communicating findings to various stakeholders. Applicants should have a strong background in mathematics, programming, and data science.

Lead the development of advanced analytics and AI/ML models, involving statistical modeling and machine learning, to provide actionable insights for stakeholders and clients.