Design and validate original, research-style computational statistics problems that require complex reasoning and cannot be solved manually in reasonable timeframes. Use Python and standard scientific libraries (such as NumPy, SciPy, Pandas, and SymPy) to verify solutions, then clearly document both the problem statements and their fully reproducible correct solutions. The problems must reflect real-world research and applied workflows, such as estimation, inference, simulation, and optimization.
Total Budget
-
Pay per Label
$60/hr
Time Requirement
20+ hrs/week
Duration
3-6 months
Computational statistics Python problem set
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Hiring Type
Required Location
Workload / Schedule
Expected weekly commitment is 20 hours. Project duration is expected to run for 3 to 6 months. Labelers should follow milestone deadlines and quality checkpoints.
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Label Types
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