Top Data Science Jobs
Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and creating predictive models to enhance medication management for healthcare providers. The role involves hands-on work with algorithms, data quality, automating reporting, and coaching the data science team. The candidate should have experience in data science, machine learning, visualization, SQL, AWS ML technologies, and data lakehouse architecture.
The Data Scientist will lead cross-functional projects using quantitative analysis to derive insights for strategic decisions in security and underwriting. Responsibilities include data modeling, collaboration with various teams on reporting, integrating new data sources, and preparing executive-level materials while fostering a culture of data excellence.
Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.
Featured Jobs
As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.
The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.
The Cellular Assay Scientist is responsible for developing, validating, and performing clinical assays in an accredited laboratory, specifically focusing on neutralizing antibody assays. This role entails designing experiments, analyzing data, improving lab procedures, and ensuring compliance with safety standards. Collaboration with technical teams and supporting equipment qualifications are also key responsibilities.
As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.
The Automation Scientist will develop and optimize lab automation systems for high-throughput cell therapy manufacturing QC testing, collaborating with various teams to implement automated QC methods, troubleshoot issues, and coordinate validation testing to ensure quality and compliance.
The Data Scientist II is responsible for designing and validating predictive models, machine learning models, and artificial intelligence. This role requires experience in NLP, machine learning algorithms, and data analysis.
Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.
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