Top Data Science Jobs in Baltimore, MD
The Research Scientist 2 conducts research study design, data analysis, and interpretation, focusing on statistical and analytical plan development. Responsibilities include collaborating with analytics teams to derive insights from complex datasets, translating results into actionable insights for business partners, and prototyping solutions to improve patient outcomes.
The Scientist in Quality Systems enhances ProBio’s quality systems by ensuring compliance with GMP regulations for clinical and commercial Cell and Gene Therapy products. Responsibilities include quality assurance reviews, supporting investigations and CAPA processes, and collaborating with internal teams to improve GxP compliance.
The Data Scientist 2 role at Comcast involves optimizing the performance of syndicated products, engaging with global telecommunications providers, and ensuring operational excellence across the product portfolio. It requires collaboration within a motivated team focused on enhancing customer experiences in digital media and connectivity.
As a Senior Data Scientist, you will collaborate with product teams to generate insights that enhance growth and engagement. Responsibilities include building dashboards, delivering analyses, designing experiments, and communicating findings to drive product improvements and customer experience.
The facilitator of Data Science at Flatiron School will guide a small class of learners through online coursework, provide feedback on projects, and lead discussions connecting curriculum to real-world applications. They will foster a collaborative learning environment, assessing and guiding students while exemplifying the school's values.
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
Analyzing and advising on improvements in the customer journey, data analysis, sales forecasting, and systems to boost productivity. Collaborating with various teams to design and implement sales incentive plans and drive outcomes aligned with business objectives. Taking initiative in cross-functional projects to create efficiencies in sales processes and improve data quality.
As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
Top Companies in Baltimore, MD Hiring Data + Analytics Roles
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