Top Data Science Jobs
The Privacy and Data Protection Compliance Specialist will support compliance with various data privacy laws, maintain data governance policies, respond to client questionnaires, conduct Privacy Impact Assessments, evaluate third-party vendor privacy, and document data subject requests. They will also monitor privacy legislation changes and assist with privacy communications and general administrative tasks.
The Principal Data Scientist will lead analytics and data science initiatives in Media Measurement, developing statistical models and machine learning algorithms for media campaign effectiveness. This role includes collaboration with cross-functional teams, project management, and mentoring other data scientists, while staying updated on industry trends.
The Technical Services Engineer will be responsible for process and formulation development, tech transfer activities, and analytical analyses. Knowledge and expertise in Biologics, single-use system (SUS) technologies, and process controls are required.
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The Scientist will work in the Next-Generation Sequencing Core, executing NGS protocols, collaborating with clients, maintaining timelines, and managing lab operations to support the development of genetic therapies.
The Data Scientist will develop and manage dashboards to provide insights into Cargomatic's financial performance, conduct financial data analyses, and collaborate with different teams to support decision-making. Responsibilities include dashboard development, data analysis, cross-functional collaboration, and predictive modeling.
Research Scientist position at KLA, a global leader in electronics for the semiconductor manufacturing ecosystem. Responsibilities include hands-on experience in semiconductor fabrication, device physics simulations, data analysis, vendor management, and technology roadmap development. Doctorate degree and 3 years of related work experience required.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
The Data Science Sr Lead Analyst at Citi is responsible for leveraging machine learning and artificial intelligence techniques to extract value from data and deploy solutions to production. The ideal candidate should be proficient in Python and passionate about staying up to date with the latest developments in AI and large language models.
The Data Scientist will support USSOCOM by integrating advanced analytical techniques for big data analysis and conducting experiments. Responsibilities include data interpretation, coordination of analytic activities, and collaboration with data engineers and analysts to develop data solutions and algorithms. Candidates must have a background in data science with hands-on experience and familiarity with programming languages.
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