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Junior Data Scientist

Fresher   All India   17 Jun, 2026
Turing
Job LocationAll India
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Role Overview:You will be responsible for contributing to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. Your role will involve hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate will have solid foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.Key Responsibilities:- Design, build, and validate data pipelines used in benchmarking and evaluation workflows.- Perform data processing, analysis, feature preparation, and validation for data science use cases.- Write, run, and modify Python code to process data and support experiments locally.- Evaluate data quality, transformations, and outputs for correctness and reproducibility.- Create clean, well-documented, and reusable data workflows suitable for benchmarking.- Participate in code reviews to ensure high standards of code quality and maintainability.- Collaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems.Qualifications Required:- Minimum 3 years of overall experience as a Data Engineer, Data Scientist, or Software Engineer. Role Overview:You will be responsible for contributing to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. Your role will involve hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate will have solid foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.Key Responsibilities:- Design, build, and validate data pipelines used in benchmarking and evaluation workflows.- Perform data processing, analysis, feature preparation, and validation for data science use cases.- Write, run, and modify Python code to process data and support experiments locally.- Evaluate data quality, transformations, and outputs for correctness and reproducibility.- Create clean, well-documented, and reusable data workflows suitable for benchmarking.- Participate in code reviews to ensure high standards of code quality and maintainability.- Collaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems.Qualifications Required:- Minimum 3 years of overall experience as a Data Engineer, Data Scientist, or Software Engineer.

Keyskills :
data engineeringdata sciencePythondata processingdata analysisdata pipelinesfeature preparation

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