Top Remote Data Science Jobs in Dallas, TX

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.

As a Senior Data Scientist, you will lead data initiatives by setting goals, architecting data models, enhancing data quality, and mentoring team members to drive impactful business decisions at SmithRx.

The Data Scientist II will develop statistical models and ML solutions to enhance workforce planning and optimize resource allocation. Responsibilities include analyzing data, deploying algorithms, and collaborating with cross-functional teams to meet business needs.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The Senior Data Scientist will build data infrastructure, implement BI tools, and provide data-driven insights to enhance Product, Sales, and Customer Success operations.

The Senior Data Scientist will build data systems, identify actionable insights, maintain data dashboards, and collaborate across departments to support Wikimedia's Community Growth initiatives with data-informed decision-making.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The role involves transforming raw data into consumer features, applying statistical techniques, monitoring performance, building dashboards, and collaborating across teams to enhance decision-making in credit lifecycle processes.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.