Top Senior Data Science Jobs in Houston, TX

Responsible for analyzing crypto-related data, mentoring a data team, and collaborating on blockchain research to enhance Circle's products and security.

As a Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

The Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.

The role involves managing AI/GenAI solution development, analyzing client needs, mentoring team members, and overseeing project execution.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

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 Senior Data Scientist, you'll lead ML lifecycle processes, collaborate on AI solutions, and develop predictive models while ensuring compliance and performance.

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

The Data Scientist will perform research on DeFi protocols, manage client engagements, and create dashboards while analyzing complex datasets.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

The Data Scientist will lead projects using data analytics and machine learning for business solutions in oil and gas, requiring strong collaboration and technical skills.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Staff Data Scientist will lead the design and implementation of machine learning models, drive data-driven decision making, and mentor team members while ensuring high performance and reliability of ML systems.

The Sr. Analyst Data Scientist will perform data science and engineering for AML/BSA audit activities, enhancing decision-making and automating processes through advanced analytics solutions.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

The Data Scientist will analyze LLM search data, define core metrics, run experiments, build predictive models, and collaborate with teams to enhance product strategy and marketing effectiveness.

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.