Top Data Science Jobs in Baltimore, MD

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.

Lead design and development of ML systems for restaurant technology, including menu recommendations and demand forecasting, influencing strategic decisions and enhancing customer experiences.

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.

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

Lead people analytics initiatives by combining HR, productivity, and market data to generate actionable insights on performance, retention, and organizational agility. Design research and assessment methods, build ML/NLP models, visualize results for executives, manage projects, and train HR stakeholders to scale data-driven solutions across the enterprise.

Lead design and implementation of constrained, non-linear marketing investment optimization frameworks. Build scalable decision support tools, partner with Marketing/Finance/Product/Technology, guide solver selection and validation, and drive roadmap for marketing optimization capabilities.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Sr Data Scientist will analyze workforce insights, apply data-driven methodologies, communicate findings with stakeholders, and lead HR analytics projects to enhance employee experience and organizational performance.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

Lead cross-functional data science initiatives, prototype ML models, and enhance procurement optimization strategies while mentoring junior team members.

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

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 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 Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.