Top Senior Level Data Science Jobs

Notion is seeking a Data Scientist for their product data science team. The role involves transforming data into evidence to direct product decisions, working closely with engineering teams, and impacting the development of Notion through various data-related tasks. Key responsibilities include applying statistical inference, defining problems and opportunities, designing experiments, and partnering with product, engineering, and marketing teams.

As a Senior Data Scientist, you will analyze data to provide actionable insights for product decisions, communicate findings to cross-functional teams, collaborate with various stakeholders, and drive projects with minimal guidance. You will implement statistical models and machine learning techniques to optimize products and identify new opportunities.

As a Senior Clinical Data Scientist at Pfizer, you will oversee clinical data processing, ensuring accuracy and consistency while leading data management projects. Your role involves guiding operational teams, managing timelines, and collaborating with various partners to enhance data quality and integrity in clinical studies.

As a QC Scientist, you will support Pfizer's quality programs by analyzing chemical, biological, or microbiological products. Responsibilities include environmental testing, analytical testing, training junior colleagues, and participating in regulatory documentation. You will ensure compliance with quality standards and Good Manufacturing Practices while influencing team projects with your scientific expertise.

As a Manager, Senior Clinical Data Scientist, you will oversee clinical data management, ensuring accuracy and timeliness in data processing. You will lead projects, guide operational teams, and collaborate with external partners. Your role will involve promoting best practices in data integrity and management, and acting as a technical resource for study teams.

The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.

The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.

The Sr Associate Data Scientist will drive business decisions in Business Banking through data analysis, collaborating with senior stakeholders to identify challenges and deliver data-driven insights, while ensuring data integrity and applying advanced statistical methods.

The Principal Research Scientist will lead research and analysis to develop and implement sustainability standards and services. Responsibilities include designing research projects, collaborating on standards development, advising on sustainability trends and practices, providing technical expertise, and communicating findings to stakeholders.

The Principal Research Scientist will lead research projects focused on sustainability standards, evaluate industry trends, and collaborate with cross-functional teams to enhance sustainable practices. The role involves conducting analyses, developing frameworks, and providing technical guidance while driving continuous improvement in sustainability services.