Applicants must have at least 5 years of hands-on data science experience, expert-level proficiency in Python (including Pandas, NumPy, SciPy, scikit-learn, statsmodels), and advanced SQL skills, including complex joins and window functions. Strong understanding of statistics and machine learning, the ability to design deterministic, reproducible problems, and fluency in written English are essential. As a contributor, you will create original, end-to-end computational data science problems simulating real-world analytical workflows in domains such as telecom, finance, government, e-commerce, and healthcare. Tasks span data ingestion, cleaning, EDA, feature engineering, modeling, validation, and deployment considerations, ensuring problems are business-relevant, reproducible, and computationally intensive.
Estimated Total Earnings
$800.00
Pay per Hour
$40.00/hr
Time Requirement
20+ hrs/week
Duration
3-6 months
Real-world data science problem authoring
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Hiring Type
Required Location
Workload / Schedule
Expected weekly commitment is 20 hours. Project duration is expected to be 3-6 months. Labelers should follow milestone deadlines and quality checkpoints.
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Data Type
Task Types
Subject Matter / Industry
Language
Proposals: 6
Invites sent: 0
Unanswered invites: 0
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