Top Data Science Jobs
The Staff Research Scientist will leverage expertise in NLP to design and implement neural net architectures and optimize training pipelines. Responsibilities include owning product quality related to summarization features, exploring new capabilities using real-world conversational data, and collaborating with engineers to evaluate model performance. 10+ years of experience in data processing and model training is required, along with a Master's or Ph.D. in a related field.
The Senior Data Scientist will provide expertise in machine learning and data science, work on projects including NSF protocols, and support research while acting as the primary liaison for the technical team.
As a Data Scientist II at Putnam, you will lead a team to solve analytical problems for clients in the pharmaceutical and biotechnology sectors. Responsibilities include managing analytical workstreams, coaching junior team members, and synthesizing analyses into actionable recommendations. You will work extensively with big data, statistical testing, machine learning, and data visualization tools.
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The Field Application Scientist will serve as a scientific liaison between Parse Biosciences and its customers, providing technical guidance on single cell sequencing, training customers on protocols, assisting in troubleshooting experiments, and collecting customer feedback for product development. This role includes significant customer interaction and travel across Nordic countries.
As a Plasma Diagnostic Scientist, you will design and deploy optical tools for plasma diagnostics, analyze data to extract plasma parameters, support experimental campaigns, and document diagnostic methodologies. You will work on developing and commissioning diagnostic instruments within a laboratory environment.
As a Director of Data Science, you will lead and expand the Data Science team, focusing on driving data-driven insights through statistical analyses and collaboration with various departments. Your role involves building high-quality dashboards, defining KPIs, and advising on field experiments to support strategic decisions across the organization.
Join Glean's world-class Data Organization as a Data Scientist based in Palo Alto. Collaborate with cross-functional teams to define data assets, improve KPIs, and maintain quantitative frameworks. Address business domains related to product-led user growth strategies and generative AI products.
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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