STAFFWORXS

Data Scientist

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a 12-month remote contract, offering a competitive pay rate. Key skills required include Python, SQL, machine learning, and ETL. Candidates should have a strong understanding of statistics and cloud platforms like AWS or Azure.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
Unknown
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๐Ÿ—“๏ธ - Date
May 15, 2026
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
Remote
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
United States
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๐Ÿง  - Skills detailed
#Cloud #Azure #Regression #"ETL (Extract #Transform #Load)" #Neural Networks #Python #Visualization #SQL (Structured Query Language) #AWS (Amazon Web Services) #ML (Machine Learning) #Statistics #Databases #Data Wrangling #Data Science
Role description
At Staffworxs, we donโ€™t just connect talent โ€” we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worldโ€™s top brands, who continue to retain us as their trusted partner. If youโ€™re ready to make an impact, youโ€™re in the right place. Job Details: Job Title: Data Scientist Location: Remote Duration: 12 Months JOB DESCRIPTION: Identifying relevant data sources (databases, APIs, or lab instrument logs) and performing "data wrangling" to fix missing values or inconsistent formats. Using statistical techniques and visualization tools to understand underlying trends and anomalies before building formal models. Designing and training machine learning (ML) algorithmsโ€”such as regression, decision trees, or neural networksโ€”to forecast future outcomes. Building automated ETL (Extract, Transform, Load) pipelines and familiarity with cloud platforms like AWS or Azure. Primary Skills: Python, SQL, Deep understanding of statistics, probability, linear algebra, ETL Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.