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Data Science Engineer (Python & SQL)(m/w/x)
Designing computationally intensive Python programming challenges for AI system testing. 5+ years hands-on data science experience with proven business impact required. Part-time, project-based AI opportunities with leading tech companies.
Requirements
- English proficiency
- Data Science specialization
- Openness to part-time, non-permanent projects
- 5+ years hands-on data science experience
- Proven business impact from data science experience
- Portfolio of completed projects
- Portfolio of publications
- Showcasing real-world problem-solving
- Expert Python programming for data science
- Expert statistical analysis
- Expert machine learning
- Deep understanding of ML algorithms and methods
- Deep understanding of practical ML applications
- Expert with SQL and database operations
- Experience with GenAI technologies
- Understanding of MLOps practices
- Understanding of model deployment workflows
- Knowledge of modern frameworks
- Strong written English (C1+)
Tasks
- Design computational data science problems
- Simulate real-world analytical workflows
- Create Python programming challenges
- Ensure problems are computationally intensive
- Develop non-trivial reasoning chains
- Create deterministic problems with reproducible answers
- Base problems on real business challenges
- Design end-to-end data science problems
- Incorporate big data processing scenarios
- Verify solutions using Python libraries
- Document problem statements clearly
- Provide verified correct answers
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scipy
- scikit-learn
- statsmodels
- SQL
- GenAI
- LLMs
- RAG
- prompt engineering
- vector databases
- MLOps
- TensorFlow
- PyTorch
- LangChain
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Data Science Engineer (Python & SQL)(m/w/x)
Designing computationally intensive Python programming challenges for AI system testing. 5+ years hands-on data science experience with proven business impact required. Part-time, project-based AI opportunities with leading tech companies.
Requirements
- English proficiency
- Data Science specialization
- Openness to part-time, non-permanent projects
- 5+ years hands-on data science experience
- Proven business impact from data science experience
- Portfolio of completed projects
- Portfolio of publications
- Showcasing real-world problem-solving
- Expert Python programming for data science
- Expert statistical analysis
- Expert machine learning
- Deep understanding of ML algorithms and methods
- Deep understanding of practical ML applications
- Expert with SQL and database operations
- Experience with GenAI technologies
- Understanding of MLOps practices
- Understanding of model deployment workflows
- Knowledge of modern frameworks
- Strong written English (C1+)
Tasks
- Design computational data science problems
- Simulate real-world analytical workflows
- Create Python programming challenges
- Ensure problems are computationally intensive
- Develop non-trivial reasoning chains
- Create deterministic problems with reproducible answers
- Base problems on real business challenges
- Design end-to-end data science problems
- Incorporate big data processing scenarios
- Verify solutions using Python libraries
- Document problem statements clearly
- Provide verified correct answers
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scipy
- scikit-learn
- statsmodels
- SQL
- GenAI
- LLMs
- RAG
- prompt engineering
- vector databases
- MLOps
- TensorFlow
- PyTorch
- LangChain
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Mindrift
Industry
IT
Description
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
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