Top Principal Data Scientist Jobs

The Principal Data Scientist will lead the development of custom data science solutions using generative AI and NLP, collaborating with a diverse team to drive business impact and enhance healthcare outcomes.

The role involves developing and deploying personalized recommendation engines using advanced ML techniques, while collaborating with cross-functional teams to drive impactful customer experiences.

As a Principal Associate Data Scientist, you'll build machine learning models, collaborate with cross-functional teams, and drive data insights to improve business decisions.

As a Principal Associate in Data Science, you'll leverage technologies to build knowledge graphs, develop modeling algorithms, and collaborate with cross-functional teams to combat fraud in customer banking.

As a Principal Machine Learning Scientist, you will conduct research, analyze data, develop models, and lead projects to implement innovative solutions in real estate.

As a Principal Associate, Data Scientist, you will lead fraud detection strategies using machine learning and collaborate with cross-functional teams to enhance fraud models and deliver innovative solutions.

The Data Scientist role focuses on leveraging modeling and analytics to improve banking operations and customer experiences through innovative data solutions.

Lead high-impact AI/ML projects in the automotive domain, overseeing technical strategy, project execution, and client management, while mentoring junior team members.

The role involves leading AI research and development, designing AI solutions, mentoring teams, and collaborating to deliver enterprise-scale AI capabilities.

As a Data Scientist, you will collaborate with data scientists and engineers to develop machine learning models, leveraging advanced technologies to extract insights from large datasets and drive business decisions.

The Data Scientist will leverage AI and NLP technologies to develop scalable solutions and products, collaborating across teams to enhance customer experiences with innovative generative AI applications.

As a Principal Associate Data Scientist, you will develop credit underwriting models using machine learning and statistical methodologies, collaborate with cross-functional teams, and contribute to innovative modeling practices.

The Principal Data Scientist will adapt complex statistical concepts for executive decision-making, lead communication standards within the data science organization, and represent Databricks at industry events. Responsibilities include mentoring, producing strategic insights, and advancing scientific methodologies.

The Principal Data Scientist develops predictive models, designs large-scale data pipelines, and collaborates to enhance data-driven decision-making using advanced analytical algorithms.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

The Principal Data Scientist will guide product decisions and improve system performance using data. Responsibilities include developing frameworks for data analysis, building models, and collaborating with cross-functional teams to enhance product reliability and performance.

The Principal Data Scientist develops and deploys machine learning models for operational and clinical uses, performs analyses, and collaborates with various stakeholders.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.

The Principal Data Scientist will analyze complex datasets, collaborate with teams to define metrics, mentor junior staff, and communicate insights to enhance Zillow Rentals' products and strategy.

As a Principal Data Scientist at Johnson & Johnson, you will develop innovative data science solutions, lead AI projects, and collaborate with cross-functional teams to drive impactful healthcare advancements.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

The Principal Analytics Engineer leads customer-centric B2B analytics and ML products, ensures scalable design, and collaborates across teams to solve complex problems.

The Principal Data Scientist leads the Price and Promotions Data Science team, designing analytics products to optimize pricing and drive customer satisfaction. Responsibilities include solving complex problems, managing large datasets, mentoring team members, and collaborating with the Data Engineering team.

The Principal Data Scientist will develop data systems for Oncology R&D, design data pipelines, and work with cross-functional teams to translate business needs into data products.

The Principal Data Scientist will standardize linked biomedical and clinical data, focusing on graph-based models while collaborating across teams to create AI-Ready datasets for Oncology R&D.