Duration: Minimum 1 month, with potential extension based on project scope and performance
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Commitment: 10-40 hours/week, flexible and asynchronous
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Role Responsibilities
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- Design experiments, gather and preprocess data, build and evaluate models.
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- Collaborate closely with engineering teams to deploy production-ready solutions.
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- Write, review, and validate prompt-based questions used to train AI systems.
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- Work proficiently in Python and Jupyter Notebooks.
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- Utilize machine learning frameworks like Tensor Flow or PyTorch.
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- Analyze large datasets and build predictive models.
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Requirements
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- Strong professional experience in data science or applied analytics.
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- Highly skilled in Python and Jupyter Notebooks.
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- Experience with libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
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- Bachelor's degree in data science, statistics, computer science, or related field.
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- Strong background in exploratory data analysis, statistical inference, machine learning workflows, model evaluation, feature engineering, data preprocessing, A/B testing, and causal inference.
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- Excellent verbal and written communication skills.
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- Solid attention to detail.
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Application Process
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- Upload resume
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- AI interview based on your resume (15 min)
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Seniority Level
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Mid-Senior level
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Employment Type
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Contract
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Job Function
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Research
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Industries
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IT System Data Services
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