TalentBurst
Sr. Data Scientist
TalentBurst, Seattle, Washington, us, 98127
Position: Sr. Data ScientistLocation: Seattle WA - HybridInterview: VideoDuration: 8+ months
This role is going to be a data scientist role not a BIE role. Could not find matching title in Beeline.
We are currently seeking a Senior Data Scientist who can help drive these initiatives forward through sophisticated data analysis, statistical modeling, and practical problem-solving. While this is an 8-month contract role, it offers an exceptional opportunity to contribute to projects with global environmental impact.
The ideal candidate will bring deep technical expertise and a proven track record in:
Advanced Python development, including extensive experience with object-oriented programming and the Pandas ecosystemProduction-level code development, including code refactoring and Git version controlComplex data analysis and statistical modeling, particularly with messy, real-world datasetsStrong foundation in statistical methods and experimental designSQL database querying and data manipulation at scaleTime series forecasting experience is highly valued
Requirements:
Ph.D. in Statistics, Computer Science, or related quantitative field5+ years of post-Ph.D. industry experienceSoftware: Python, Pandas, SQL.Demonstrated ability to translate complex analytical problems into practical solutionsTrack record of delivering high-impact data science projects
#TB_EN
This role is going to be a data scientist role not a BIE role. Could not find matching title in Beeline.
We are currently seeking a Senior Data Scientist who can help drive these initiatives forward through sophisticated data analysis, statistical modeling, and practical problem-solving. While this is an 8-month contract role, it offers an exceptional opportunity to contribute to projects with global environmental impact.
The ideal candidate will bring deep technical expertise and a proven track record in:
Advanced Python development, including extensive experience with object-oriented programming and the Pandas ecosystemProduction-level code development, including code refactoring and Git version controlComplex data analysis and statistical modeling, particularly with messy, real-world datasetsStrong foundation in statistical methods and experimental designSQL database querying and data manipulation at scaleTime series forecasting experience is highly valued
Requirements:
Ph.D. in Statistics, Computer Science, or related quantitative field5+ years of post-Ph.D. industry experienceSoftware: Python, Pandas, SQL.Demonstrated ability to translate complex analytical problems into practical solutionsTrack record of delivering high-impact data science projects
#TB_EN