Top Senior Level Data Science Jobs

The Senior Data Scientist at Harvard Business Publishing will develop data-driven features, conduct research and build machine learning models to enhance edtech and media products, support strategic decision-making, and collaborate with engineering teams on a customer-facing chatbot and other data initiatives.

The Senior Manager, Data Scientist will work on anti-money laundering analytics for a financial services client, designing transaction monitoring models and employing techniques such as clustering and machine learning. Responsibilities include executing model performance monitoring, reducing false positives, and supporting model validation. The role requires strong analytical skills and significant experience in data science, particularly within the banking domain.

The Principal Scientist will lead technical transfer processes, provide documentation, assess process data, and offer support for manufacturing processes. This role involves collaborating with clients and internal teams to facilitate project progress and improvements in drug substance operations.

The Lead Data Scientist will leverage innovative data analytics and machine learning techniques to extract insights from data, developing predictive models and efficient data pipelines, while collaborating with stakeholders to improve decision-making and operational efficiency.

The Senior Manager, Fraud Risk Data Science will lead the Fraud Risk Data Innovation team, managing data scientists and collaborating on data science projects related to fraud detection and transaction risk. Responsibilities include ownership of predictive modeling projects, designing experiments, and communicating results across teams.

The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.