Perfict
Data Scientist X3
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (x3) with a long-term remote contract. Requires 3+ years of experience or a Master's degree in a relevant field, strong SQL and Python skills, and expertise in data structures and quality.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Computer Science #Python #Unsupervised Learning #Data Science #Data Quality #Data Analysis #SQL (Structured Query Language) #Supervised Learning #Time Series #Classification #Data Cleaning #Regression #Clustering #BI (Business Intelligence)
Role description
Job Title : Data Scientist x3
Location : Remote
Duration : Long Term
Roles & Responsibilities
• 3+ minimum years of direct experience preferred; open to new grads with Master's degree in computer science, data science, or similar + direct school project experience with the below skills
• Strong SQL AND Python required (SQL and Python assessment will be required)
• Must have deep understanding of DATA STRUCTURES - understand how data is structured, stored and consumed so analytics and downstream reporting don't break (how and why of the data vs someone focused on modeling techniques): I.e.
• Data shape, structure, relationships
• Data quality, lineage, consistency
• Making data usable, reliable and interpretable for analytics teams, BI or the business
• Standard data science techniques are sufficient; exploratory data analysis, data cleaning and preprocessing, feature engineering, regression techniques, classification techniques, clustering/unsupervised learning, time series analysis, etc
• Master's degree
Job Title : Data Scientist x3
Location : Remote
Duration : Long Term
Roles & Responsibilities
• 3+ minimum years of direct experience preferred; open to new grads with Master's degree in computer science, data science, or similar + direct school project experience with the below skills
• Strong SQL AND Python required (SQL and Python assessment will be required)
• Must have deep understanding of DATA STRUCTURES - understand how data is structured, stored and consumed so analytics and downstream reporting don't break (how and why of the data vs someone focused on modeling techniques): I.e.
• Data shape, structure, relationships
• Data quality, lineage, consistency
• Making data usable, reliable and interpretable for analytics teams, BI or the business
• Standard data science techniques are sufficient; exploratory data analysis, data cleaning and preprocessing, feature engineering, regression techniques, classification techniques, clustering/unsupervised learning, time series analysis, etc
• Master's degree
