Insight Global

Data Scientist

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist contract position for 1 year, with potential for a 1-year extension. It offers $60-75/hr, requires 5+ years of experience, proficiency in SQL and Python or R, and expertise in data modeling and visualization tools.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
600
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๐Ÿ—“๏ธ - Date
February 23, 2026
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
Remote
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๐Ÿ“„ - Contract
W2 Contractor
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
United States
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๐Ÿง  - Skills detailed
#"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Modeling #Tableau #Scala #R #Spark (Apache Spark) #Visualization #Mathematics #Programming #Automation #Data Science #Statistics #BI (Business Intelligence) #Microsoft Power BI #Big Data #Python #Presto #Cloud #Computer Science
Role description
Job Info: Data Scientist โ€ข Job Type: Contract (W2) โ€ข Job Location: Remote โ€ข Job Duration: 1 year, plus 1 year extension (2 years) โ€ข Hourly Pay: $60-75hr per hour โ€ข Work Hours: Monday-Friday / 40 hours per week Job Description: We are looking for an experienced and strategic Data Scientist to support key analytics initiatives focused on improving operational efficiency and enabling dataโ€‘driven decision making. The ideal candidate will have strong technical skills, experience developing metrics, and the ability to build scalable data solutions. In this role, you will design data models, contribute to metric development, and support the automation of financial and operational tracking systems. You will collaborate with crossโ€‘functional partners, mentor junior data scientists, and deliver insights through dashboards, reports, and self-service analytics tools. Qualifications โ€ข Bachelorโ€™s or Masterโ€™s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. โ€ข 5+ years of experience in data science, analytics, or a related field. โ€ข Proficiency in SQL and at least one programming language (Python or R preferred). Expertise in data visualization tools (e.g., Tableau, Power BI, or internal equivalents). โ€ข Strong background in data modeling, ETL processes, and data warehousing. โ€ข Familiarity with cloud platforms and big data technologies (e.g., Hive, Presto, Spark).