Posted: Sep 3, 2025
Data Scientist - Mathematical Statistics (Python, statsmodels/scipy)
OtherComputer Code ProgrammingPay Per Hour
Project 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.
Estimated Total Earnings: $2,500.00Pay Per HourEntry Level1 monthIndependent AI Trainers Only
Estimated Total Earnings
$2,500.00
Pay per Hour
$25.00/hr
Time Requirement
Less than 20 hrs/week
Duration
1 month
Labelers Needed
10
Description of dataset
Experimental and business datasets for statistical analysis
Software
Other
Hiring Type
Independent AI Trainers Only
Required Location
Global Any Location
Workload / Schedule
Flexible schedule, starting immediately. 1 week pilot phase
Software
Other
Data Type
Computer Code ProgrammingTask Types
Computer Programming Coding
Evaluation Rating
Subject Matter / Industry
Mathematical statistics, inference, and data scien
Language
English
Job Type
Managed Service by OpenTrain
Activity on this project
Proposals: 290
Invites sent: 0
Unanswered invites: 0
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