Top Data Science Jobs
The Revenue Operations Analyst at Definitive Healthcare will utilize data analysis and business intelligence tools to track revenue performance. Responsibilities include generating reports on revenue metrics, collaborating with teams for revenue forecasts, analyzing pricing strategies, and communicating analytic solutions.
The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.
The Senior Director of Data Science will lead and develop the data science team, driving initiatives to leverage data for drug development efficiency and success. Responsibilities include mentoring team members, executing strategies for data utilization, providing technical guidance, ensuring data governance, managing projects, and fostering cross-functional collaboration.
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The OFRO P&T Risk & Quality Data Science Director will lead the management of risk, compliance, and technology within PwC's One Firm Risk Organization. Responsibilities include overseeing teams, analyzing market trends, supporting learning and development, and ensuring ethical adherence. The role demands effective stakeholder management and a strong understanding of data and technology risks.
The Senior Data Scientist will design, implement, and support AI-enabled products using clinical trial data. Responsibilities include developing predictive models, conducting data analysis, ensuring data quality, and collaborating with stakeholders to optimize outcomes using AI methodologies.
As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.
Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
The Senior Data Scientist will lead complex analyses using machine learning and data science techniques to derive insights from structured and unstructured data. Responsibilities include mentoring other data personnel, applying advanced analysis methods, and delivering insights to support Takeda's objectives in healthcare, vaccines, and R&D.
The Revenue Operations Analyst will analyze revenue data, optimize processes, and support go-to-market teams by identifying trends, generating actionable insights, managing performance metrics, and enhancing sales productivity through collaboration and best practices implementation.
As a Senior Applied Machine Learning Scientist, you will develop Machine Learning algorithms focusing on NLP and Computer Vision, prototype solutions, and work collaboratively to enhance product capabilities with advanced AI/ML technologies.
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