Thomson Keene
Overview
Our client, a forward-thinking data intelligence firm, is looking for a talented Data Scientist with experience in algorithm development, geospatial data analysis, and relational databases to join their growing cross-product team. You\'ll play a leading role in developing solutions for industry-disrupting geospatial data analytics software. Base pay range
$150,000.00/yr - $200,000.00/yr Direct message the job poster from Thomson Keene Responsibilities
Work closely with SMEs to translate business requirements into technical solutions Design algorithms for data extraction and fusion from remote sensing and proprietary sources Process volatile live data streams on Google Cloud Platform using Python-based applications Extract information from geospatial data queries of relational databases Qualifications
PhD or MS in Computer Science (or related field) Knowledge of geospatial data formats, libraries, and spatial database query syntax Proficient in image processing, algorithms, and machine learning libraries Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting Financial Services
#J-18808-Ljbffr
Our client, a forward-thinking data intelligence firm, is looking for a talented Data Scientist with experience in algorithm development, geospatial data analysis, and relational databases to join their growing cross-product team. You\'ll play a leading role in developing solutions for industry-disrupting geospatial data analytics software. Base pay range
$150,000.00/yr - $200,000.00/yr Direct message the job poster from Thomson Keene Responsibilities
Work closely with SMEs to translate business requirements into technical solutions Design algorithms for data extraction and fusion from remote sensing and proprietary sources Process volatile live data streams on Google Cloud Platform using Python-based applications Extract information from geospatial data queries of relational databases Qualifications
PhD or MS in Computer Science (or related field) Knowledge of geospatial data formats, libraries, and spatial database query syntax Proficient in image processing, algorithms, and machine learning libraries Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting Financial Services
#J-18808-Ljbffr