Top Remote Data Science Jobs in Houston, TX

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

Lead the technical vision for pricing guidance algorithms at Airbnb, develop pricing strategies, and provide technical leadership to cross-functional teams.

The Staff Data Scientist will drive strategic initiatives in Reddit's ad ecosystem, develop advanced models, and collaborate across teams to optimize advertising efforts.

As a Data Scientist Tech Lead, you will guide a team in developing and deploying machine learning and generative AI systems, mentor other data scientists, and collaborate with various stakeholders to drive analytics solutions.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

The Program Integrity Data Scientist II develops algorithms for fraud detection, analyzes payment issues, performs data analysis, and collaborates across departments to enhance program integrity initiatives.

The Data Scientist will utilize causal inference methods to evaluate marketing initiatives, conduct data analysis, and collaborate with teams to inform marketing strategies.

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

Lead the development of a data science practice at TRIMEDX, focusing on AI and machine learning to optimize clinical asset utilization and reduce operational costs. Oversee AI roadmap, advanced data modeling, and support commercialization of market solutions through data-driven insights.

The Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.

As a Data Scientist, you will develop machine learning models for soil carbon measurement, conduct research, and collaborate with scientists and engineers to ensure project methodology compliance.

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

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

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.

Lead the development and validation of analytical pipelines and statistical models, automate processes, mentor peers, and ensure compliance for clinical reporting.

The Model Risk Data Scientist will develop model performance metrics, support model governance for financial partners, and automate model analysis processes using Python and SQL.

The Senior AI Data Scientist will design and develop AI agents for marketing analytics in consumer lending, leveraging advanced Python and big data platforms.

The Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.

The intern will optimize ML systems, analyze data sets, develop predictive models, and document machine learning processes while working under guidance.

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.