Top Artificial Intelligence Data Science Jobs in Houston, TX

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

As a Staff Applied Scientist, you will build causal inference models to assess product impacts, mentor colleagues, and advise leadership on product strategy.

In this role, you will lead pricing experimentation, develop pricing models, perform data analysis, and communicate findings to senior leadership.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

The Staff Analyst will design and analyze pricing experiments, optimize pricing strategies, conduct market trend analyses, and collaborate with cross-functional teams to enhance marketplace outcomes.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

The Staff Data Scientist will lead projects to drive insights, define business metrics, advance experimentation, and collaborate with various teams to enhance user experience and product performance.

As a Data Scientist at Jerry, you'll leverage machine learning models to extract insights, partner with cross-functional teams, and drive data-led decisions across business initiatives.

The Senior Data Scientist will build data pipelines, predictive models, dashboards, and reporting tools, enhancing financial insights and strategies through advanced analytics and collaboration across teams.

Lead a team of Data Scientists and analysts in testing agents and managing evaluation metrics, ensuring accurate reporting and statistical analysis.