Top Data Science Jobs in Baltimore, MD

The Data Scientist will support the Model Management team by analyzing datasets, developing analytics, and implementing machine learning algorithms using Python, R, and SQL.

The Data Scientist role involves transforming alternative data into insights, building and validating predictive models, and creating technical white papers, leveraging AI-native tools.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

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.

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

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Data Scientist II develops and optimizes machine learning models, analyzes data to inform business decisions, and collaborates with cross-functional teams while maintaining data integrity.

The Data Scientist will develop predictive models, analyze large datasets, and enhance mission-driven analytics for a DoD customer, using Agile methodologies and integrating data from multiple sources.

As a Staff Data Scientist, you will drive growth through data science initiatives, optimize sales processes, and develop recommendation engines for strategic decisions. You will work closely with multiple teams and build models that enhance revenue opportunities.

As Staff Data Scientist, you will drive advanced analytics to optimize sales performance, build predictive models, and develop insights for decision-making across the GTM organization.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

As a Data Scientist, you'll analyze user behavior, conduct A/B tests, inform product strategy, and collaborate with cross-functional teams in the rental market.

The Staff Data Scientist will lead analytical strategies for Firefox, focusing on product growth, measurement frameworks, and mentoring data scientists while guiding data-driven decisions.

The Staff Data Scientist will own the analytical strategy for Firefox, driving data-informed decisions through measurement frameworks, experiments, and user growth analysis, while mentoring other data scientists.

The Staff Data Scientist will define measurement frameworks, own strategic models, and lead scientific practices while collaborating with teams to inform executive decisions at Fetch.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

Develop a tool to enhance signature management capabilities and integrate diverse data holdings, leveraging AI/ML solutions to meet operational needs.

Join as a Data Scientist II to develop AI systems for biomedical research, focusing on LLMs and computer vision, while collaborating with researchers.