Top Remote Senior Level Data Science Jobs in Dallas, TX

The Senior Data Scientist will develop predictive models using machine learning and statistical methods on data collected from 3D sources, leveraging tools like Python and AWS. Responsibilities include preparing data, performing iterative solutions, and working collaboratively in a dynamic team.

The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.

The Senior Data Scientist will drive complex projects focused on machine learning, providing insights, developing predictive models, and implementing innovative solutions for products. Responsibilities include building scalable ML infrastructure, collaborating with teams, and mentoring juniors while ensuring performance optimization and compliance with MLOps practices.

The Research Scientist will develop AI-driven biophysical simulation methods to enhance knowledge graphs, contribute to drug discovery, and present research findings to interdisciplinary teams. The role involves creating innovative simulation techniques to optimize biological insights and improve health outcomes on a large scale.

As a Staff Applied Research Scientist, you will oversee the research process, collaborate with your team, contribute to the design of research roadmaps, and train other members while solving complex problems in media creation using deep learning techniques.

The Manager of Data Science & Analytics will oversee a team focused on developing healthcare data products and predictive models to support medication management initiatives. Responsibilities include leading data teams, enhancing data operations, ensuring data quality, and presenting actionable insights to improve compliance and efficiency for healthcare clients.

The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.