{"id":3481837,"url":"https://alion.io/job/turing-remote-data-scientist","title":"Remote Data Scientist","company":{"id":13199,"name":"Turing","domain":"turing.com","url":"https://alion.io/company/turing","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"PST","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":49000,"period":"year","method":"role_seniority_country_cell","sample_n":26},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-29T17:23:47Z","employer_posted_date":null,"last_verified_at":"2026-10-29T17:23:47Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"About Turing:\nBased in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that 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\n\nRole Overview:\nWe are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.\nThe ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.\n\nWhat does day-to-day life look like\nWork with structured and unstructured datasets to support SWE Bench-style evaluation tasks.\nDesign, build, and validate data pipelines used in benchmarking and evaluation workflows.\nPerform data processing, analysis, feature preparation, and validation for data science use cases.\nWrite, run, and modify Python code to process data and support experiments locally.\nEvaluate data quality, transformations, and outputs for correctness and reproducibility.\nCreate clean, well-documented, and reusable data workflows suitable for benchmarking.\nParticipate in code reviews to ensure high standards of code quality and maintainability.\nCollaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems.\n\nRequirements:\nMinimum 3+ years of overall experience as a Data Engineer, Data Scientist, or Software Engineer (data-focused).\nStrong proficiency in Python for data engineering and data science workflows.\nDemonstrable experience with data processing, analysis, and model-related workflows.\nSolid understanding of machine learning and data science fundamentals.\nExperience working with structured and unstructured data.\nAbility to understand, navigate, and modify complex, real-world codebases.\nExperience writing readable, reusable, maintainable, and well-documented code.\nStrong problem-solving skills, including experience with algorithmic or data-intensive problems.\nExcellent spoken and written English communication skills.\n\nPerks of Freelancing With Turing:\nWork in a fully remote 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