Posted: Sep 3, 2025
Data Scientist - Mathematical Statistics (Python, statsmodels/scipy)
Total Budget: $1,000OtherComputer Code ProgrammingPay Per Hour
Overview
Dataset
Labeling Details
Hiring
Budget
Client
Labeling Overview
Candidates must have strong Python skills and a solid foundation in mathematical statistics. Required knowledge includes hypothesis testing (t-test, chi-square, ANOVA), p-values and confidence intervals, correlation and regression analysis, and probability distributions. Proficiency with numpy, scipy, statsmodels, and pandas is essential, with the ability to interpret results and communicate assumptions and limitations clearly. You will clean and wrangle datasets, select appropriate statistical tests, run analyses in scipy/statsmodels, and extract actionable insights. Typical tasks include designing/assessing experiments, computing effect sizes and power, fitting linear/logistic models, checking assumptions/diagnostics, constructing intervals, and summarizing findings for stakeholders with clear narratives and visual summaries. Work also includes maintaining reproducible notebooks and documenting methods.
Total Budget: $1,000Pay Per HourEntry Level1 monthIndependent Labelers Only
Total Budget
$1,000
Pay per Label
$25/hr
Time Requirement
Less than 20 hrs/week
Duration
1 month
Description of dataset
Experimental and business datasets for statistical analysis
Software
Other
Hiring Type
Independent Labelers Only
Required Location
Global Any Location
Workload / Schedule
Flexible schedule, starting immediately. 1 week pilot phase
Software
Other
Data Type
Computer Code ProgrammingLabel Types
Computer Programming Coding
Evaluation Rating
Subject Matter / Industry
Mathematical statistics, inference, and data scien
Language
English
Job Type
Managed Service by OpenTrain
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