Top Senior Level Data Science Jobs

Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.

The Senior Manager of Data Science will lead a team focusing on data-driven insights and product strategies in the AdTech sector, shaping business decisions and developing automated models for operational efficiency.

The Staff Data Scientist will lead data-driven projects, analyze and interpret data, develop KPIs, create dashboards, and collaborate with cross-functional teams to enhance product analytics efforts. Responsibilities also include modeling, presenting insights to leadership, and mentoring junior scientists.

As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.

The Data & AI Solutions Lead will manage a team of analytics professionals, focusing on leveraging Tableau for data visualization, driving insights, and supporting business decisions. Responsibilities include consultation, coaching, and managing team performance while working with large datasets and communicating complex concepts to stakeholders.

The Scientist II, Analytical Development is responsible for performing and supporting analytical testing, method development, and optimization for drug substances and products. This includes analysis using techniques such as HPLC and GC, collaborating with cross-functional teams, maintaining laboratory records, and ensuring compliance with regulatory standards and operating procedures.

As a Senior AI Data Scientist, you will design, develop, and deploy machine learning and deep learning models while managing projects using structured and unstructured data. You will mentor junior team members, collaborate with cross-functional teams, create data visualizations, and stay updated on AI trends, ensuring effective communication of findings and aligning technical specifications with business needs.