Top Data Science Jobs in Baltimore, MD

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.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

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.

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.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.

Analyze complex datasets, develop and implement predictive models, collaborate with stakeholders to find data-driven growth opportunities, create visualizations, ensure data quality, and stay current with industry trends.

The Data Scientist will extract meaning from large datasets, using statistical and computational methods, and communicate findings effectively. The role requires strong programming skills and experience in machine learning and data science.