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India
Python
TypeScript
JavaScript
Accountabilities:
- Data Analysis and Interpretation: Analyze complex datasets, identify meaningful patterns, evaluate trends, and assess the accuracy of data-driven conclusions.
- Statistical Analysis and Evaluation: Review statistical methodologies, probability concepts, hypothesis testing, regression models, and statistical interpretations.
- Machine Learning Evaluation: Assess machine learning algorithms, model selection strategies, feature engineering techniques, and predictive modeling workflows.
Requirements:
- 2–6 years of professional experience, with at least 2 years in Data Science, Applied Science, Data Analytics, Machine Learning, or a related technical field.
- Strong hands-on programming experience with Python, including data science libraries such as Pandas, NumPy, and Scikit-learn.
- Solid understanding of statistics, probability, hypothesis testing, and machine learning algorithms.
Benefits:
- Competitive hourly compensation: USD 30–80, depending on project-specific compensation terms.
- Fully remote working arrangement, allowing you to work from anywhere in India.
- Flexible part-time engagement with a minimum commitment of 2 dedicated hours per day.
Partner Company
A partner company focuses on developing and improving advanced AI systems through specialized data annotation and model training projects. They offer a flexible, part-time remote opportunity for professionals passionate about data and artificial intelligence.