Data Science & Engineering Researcher

Job Description

As a Software Engineer (SWE Bench Data Engineer / Data Science) at Turing, your role will involve contributing to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. You will work with structured and unstructured datasets to support SWE Bench-style evaluation tasks, design, build, and validate data pipelines, and perform data processing, analysis, feature preparation, and validation for data science use cases. Additionally, you will write, run, and modify Python code, evaluate data quality, and create clean, reusable data workflows suitable for benchmarking. Collaboration with researchers and engineers to design challenging, real-world data tasks for AI systems will also be a key aspect of your responsibilities.Key Responsibilities:- Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.- 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 (data-focused).- Robust proficiency in Python for data engineering and data science workflows.- Demonstrable experience with data processing, analysis, and model-related workflows.- Solid understanding of machine learning and data science fundamentals.- Experience working with structured and unstructured data.- Ability to understand, navigate, and modify complex, real-world codebases.- Experience writing readable, reusable, maintainable, and well-documented code.- Strong problem-solving skills, including experience with algorithmic or data-intensive problems.- Excellent spoken and written English communication skills.About Turing:Turing is the worlds leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. The company accelerates frontier research and applies expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Perks of Freelancing With Turing:- Work in a fully remote environment.- Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details:- Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.- Engagement Type: Contractor assignment (no medical/paid leave)- Duration of Contract: 3 months (adjustable based on engagement) As a Software Engineer (SWE Bench Data Engineer / Data Science) at Turing, your role will involve contributing to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. You will work with structured and unstructured datasets to support SWE Bench-style evaluation tasks, design, build, and validate data pipelines, and perform data processing, analysis, feature preparation, and validation for data science use cases. Additionally, you will write, run, and modify Python code, evaluate data quality, and create clean, reusable data workflows suitable for benchmarking. Collaboration with researchers and engineers to design challenging, real-world data tasks for AI systems will also be a key aspect of your responsibilities.Key Responsibilities:- Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.- 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 (data-focused).- Robust proficiency in Python for data engineering and data science workflows.- Demonstrable experience with data proces

Keyskills :
PythonData EngineeringData ScienceMachine Learning