Perfict
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a remote Data Scientist position on a long-term contract, requiring expertise in Python, SQL, and machine learning fundamentals. Candidates should have a recent PhD or ongoing Master’s in ML, statistics, or related fields, with preferred experience in healthcare analytics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Analysis #Classification #Data Science #Regression #Python #ML (Machine Learning) #Databricks #Statistics #Model Evaluation #Computer Science #Predictive Modeling #SQL (Structured Query Language) #Datasets
Role description
Job Title : Data Scientist
Location : Remote
Long Term Contract
Roles & Responsibilities
• Deep statistical and mathematical knowledge; hypothesis testing, statistical significance, experimental design, T-tests, model assumptions, statistical reasoning, quaittiatve analysis
• Candidates need strong traditional ML model training and feature engineering
• Exploratory data analysis (EDA)
• Machine learning fundamentals; classification, regression, model evaluation, overfitting, regularization, feature engineering/selection, class imbalance, etc.
• Python; analyzing data, building models, evaluating models, running statistical analysis
• SQL; ability to query , join datasets, aggregate data, retrieve data for analysis, performing data validation, etc.
• Recent Phd graduate in ML, statistics, computer science, physics, or data science (open to Master degrees in the same studies if they're in process of getting Phd)
Preferred Skills
• Healthcare analytics experience
• Population health experience
• Research publications
• PhD research experience
• Applied statistics experience
• Predictive modeling experience
• Databricks experience
Job Title : Data Scientist
Location : Remote
Long Term Contract
Roles & Responsibilities
• Deep statistical and mathematical knowledge; hypothesis testing, statistical significance, experimental design, T-tests, model assumptions, statistical reasoning, quaittiatve analysis
• Candidates need strong traditional ML model training and feature engineering
• Exploratory data analysis (EDA)
• Machine learning fundamentals; classification, regression, model evaluation, overfitting, regularization, feature engineering/selection, class imbalance, etc.
• Python; analyzing data, building models, evaluating models, running statistical analysis
• SQL; ability to query , join datasets, aggregate data, retrieve data for analysis, performing data validation, etc.
• Recent Phd graduate in ML, statistics, computer science, physics, or data science (open to Master degrees in the same studies if they're in process of getting Phd)
Preferred Skills
• Healthcare analytics experience
• Population health experience
• Research publications
• PhD research experience
• Applied statistics experience
• Predictive modeling experience
• Databricks experience
