Top Remote Senior Level Data Science Jobs in Dallas, TX

As a Senior Data Scientist, you will leverage advanced analytics tools to develop data-driven solutions and lead end-to-end data science projects. Responsibilities include building predictive models, applying statistical methods, collaborating with teams, and delivering actionable recommendations to stakeholders, while staying updated on emerging Microsoft technologies.

As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.

The Senior Data Scientist at 6sense is responsible for leading the design and development of AI solutions to address complex business problems. The role involves utilizing advanced machine learning and deep learning techniques, collaborating with stakeholders, and ensuring alignment with business objectives while continuously adapting to technological advancements.

Seeking an experienced Research Scientist in Biophysics to develop and apply biophysical simulation techniques to generate actionable insights for drug discovery. Must have strong Python skills and a track record of innovation in simulation methods.

The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.

Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.

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.