Top Data Science Jobs in Baltimore, MD
AnaVation seeks a Data Scientist/Data Engineer to support National Security missions. Responsibilities include improving data discoverability, resolving data sharing issues, and developing analytics solutions. Collaborating with partners, the role involves mining datasets, optimizing data processing, and creating predictive models aligned with mission goals.
The Data Scientist will research, design, and develop data systems and architectures, leveraging high-performance computing for integration. The role involves recommending technologies to meet organizational needs while ensuring compliance with DoD security practices.
The Senior Scientist will support the JPEO-CBRND by researching and evaluating scientific innovations and technologies, leading technology assessments, and advising on program requirements within DoD acquisition structures. This role includes collaboration with stakeholders to meet operational needs and risk assessment of new technologies.
Lead the development of a unified data reference architecture, data modeling, and implementation of data mesh or data fabric. Collaborate with teams, evaluate technologies, ensure compliance, and monitor performance of data architecture. Top Secret clearance and Bachelor's or Master's degree required.
The Private Equity Data Scientist will use data to enhance investment decision-making processes, develop predictive models, and drive digital transformation initiatives. Responsibilities include collaborating with management teams, designing dashboards, monitoring company performance, and implementing data-driven strategies for operational improvement and growth.
The Data Migration Specialist will plan, execute, and manage the migration of data from legacy systems to a new SAAS product. Responsibilities include defining data mapping strategies, developing migration plans, executing migration tasks, collaborating with cross-functional teams, and ensuring data integrity post-migration.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
Top Companies in Baltimore, MD Hiring Data + Analytics Roles
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