Intelliswift
Data Scientist
Intelliswift, Seattle, Washington, us, 98127
Pay rate range - $80/hr. to $85/hr. on W2Hybrid will need to come into the office as needed, the rest of the work can be done at home.
Must HavePh.D. in Statistics, Computer Science, or related quantitative fieldMinimum of 5 years experience as a data scientistRequired skills: SQL, Python
Leadership Principles -Dive Deep, deliver results, bias for action
Job Description: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.
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 ecosystem- Production-level code development, including code refactoring and Git version control- Complex data analysis and statistical modeling, particularly with messy, real-world datasets- Strong foundation in statistical methods and experimental design- SQL database querying and data manipulation at scale- Time series forecasting experience is highly valued
Requirements:- Ph.D. in Statistics, Computer Science, or related quantitative field- 5+ years of post-Ph.D. industry experienceSoftware: Python, Pandas, SQL.- Demonstrated ability to translate complex analytical problems into practical solutions- Track record of delivering high-impact data science projects
Must HavePh.D. in Statistics, Computer Science, or related quantitative fieldMinimum of 5 years experience as a data scientistRequired skills: SQL, Python
Leadership Principles -Dive Deep, deliver results, bias for action
Job Description: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.
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 ecosystem- Production-level code development, including code refactoring and Git version control- Complex data analysis and statistical modeling, particularly with messy, real-world datasets- Strong foundation in statistical methods and experimental design- SQL database querying and data manipulation at scale- Time series forecasting experience is highly valued
Requirements:- Ph.D. in Statistics, Computer Science, or related quantitative field- 5+ years of post-Ph.D. industry experienceSoftware: Python, Pandas, SQL.- Demonstrated ability to translate complex analytical problems into practical solutions- Track record of delivering high-impact data science projects