Top Data Science Jobs
As a Senior Data Scientist, you will analyze and model data to create interventions for U.S. Customs and Border Protection. Responsibilities include collaborating with stakeholders, developing project plans, cleaning and transforming data, building predictive models, and presenting findings to both technical and non-technical audiences.
The Principal Scientist in Manufacturing Science and Technology Compliance will oversee compliance for manufacturing processes, manage investigations of deviations, and implement corrective action plans. Responsibilities include data analytics, risk assessments, training manufacturing operators, and enhancing compliance in cGMP operations while collaborating closely with Quality teams and other stakeholders.
The Senior Data Scientist at Cameo will collaborate with product, marketing, and business teams to drive data-informed decisions. Key responsibilities include measuring marketing ROI, designing A/B tests, creating dashboards, and analyzing multi-source data to improve product algorithms. The role requires strong analytical skills and the ability to communicate insights effectively.
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The Senior Scientist will lead analytical activities supporting process development, optimize platform coordination, and act as a subject matter expert for cell counting and flow cytometry. Responsibilities include method development, data management, and mentoring a team while managing project timelines and budgets.
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The Informatics Data Scientist Lead is responsible for developing and maintaining Python code for ETL processes and bioinformatics pipelines, managing automated testing, and collaborating with various teams to structure and prepare data for analysis and modeling in a high-performance computing environment.
As a Senior Research Scientist, you will lead AI/ML research initiatives, develop key prediction algorithms, and collaborate with cross-functional teams to transition research into products. You'll oversee grant-funded projects, write applications, and adapt to changing priorities while mentoring other team members.
The Credit Analyst will perform fundamental credit research to identify investment opportunities in the High Yield market. Responsibilities include analyzing capital structures, developing trade ideas, monitoring positions, and maintaining external relationships to form issuer views.
As a Principal Data Scientist, you will enhance Epic's experimentation capabilities, perform rigorous analysis to improve user experiences, and collaborate with various teams to drive engagement and growth. Responsibilities include developing analytics best practices, building experiment review processes, and partnering with product leaders and data engineers.
The Staff Data Scientist will lead data-driven projects, analyze and interpret data, develop KPIs, create dashboards, and collaborate with cross-functional teams to enhance product analytics efforts. Responsibilities also include modeling, presenting insights to leadership, and mentoring junior scientists.
The Research Scientist will conduct advanced research in AI and autonomous systems, focusing on scalable autonomy stacks and closed-loop simulations. The role involves collaboration with peers and engineers to develop algorithms and contribute to industry-leading publications. Candidates should have a strong research background and be passionate about deploying models in real-world autonomous systems.
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