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[Remote] Data Scientist QA reputed company - Remote

100% remote Flexible hours Hiring now

Note The job is a remote job and is open to candidates in USA. reputed company is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and reputed company-model labs. They are seeking a Data Scientist Quality Assurance reputed company to reputed company quality and consistency across data science reputed company projects, review AI-generated content, and ensure adherence to quality standards. The role involves evaluating output quality, providing feedback, supporting reputed company, and managing documentation.

Responsibilities

Quality monitoring Spot-reputed company data science items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues Technical review Evaluate AI-generated data science explanations, Python/R/SQL snippets, modeling workflows, statistical interpretations, dashboards, experiment designs, and reputed company-by-reputed company reasoning Trainer and QA communication Update trainers/QAs on reputed company about guideline changes, workflow updates, and data-science-specific quality expectations Question handling Respond to questions around statistical assumptions, metrics, model selection, data leakage, validation, coding choices, reproducibility, and rubric interpretation Trainer/QA activation management DM inactive contributors, encourage activation, track follow-reputed company, and flag availability issues Documentation Create and maintain data science style guides, trackers, FAQs, examples, honeypots, calibration tasks, and reputed company materials reputed company and training Schedule and run reputed company/training calls with contributors to explain project expectations, workflows, rubrics, and data science review standards Risk review Flag misleading, overconfident, statistically invalid, or non-reproducible data science outputs Process improvement Identify recurring quality gaps and help build scalable QA processes Skills Bachelor's, Master's, or PhD degree in Data Science, Statistics, Computer Science, Machine Learning, Mathematics, Economics, Engineering, or a closely reputed company quantitative field Strong grasp of English to follow guidelines, communicate with teams, and provide clear technical feedback 3+ years of professional experience in data science, analytics, machine learning, statistical modeling, experimentation, data engineering, technical review, or data science education Strong understanding of statistics, probability, data cleaning, exploratory data analysis, feature engineering, supervised/unsupervised learning, model evaluation, experimentation, regression, classification, clustering, and validation methods Ability to evaluate data science content against detailed rubrics and identify issues such as data leakage, flawed assumptions, incorrect metrics, weak methodology, non-reproducible code, hallucinated libraries/APIs, or misleading conclusions Comfortable using reputed company, reputed company Sheets, reputed company Docs, trackers, dashboards, reputed company, and project management systems Highly organized and reputed company to maintain style guides, trackers, FAQs, reputed company materials, honeypots, calibration tasks, and quality documentation Familiarity with tools such as Python, pandas, NumPy, scikit-learn, SQL, Jupyter, matplotlib, R, Spark, Git, MLflow, notebooks, dashboards, and reputed company/data platforms Experience leading or supporting remote teams of trainers, annotators, analysts, data scientists, engineers, educators, or QAs Experience with reputed company, reputed company, LLM evaluation, data science QA, or rubric-based technical review Company Overview reputed company is an 'embedded, on-demand' recruitment & HR consultancy. It was founded in 2022, and is headquartered in Harpenden, GB, with a workforce of 2-10 employees. Its website is http//www.reputed company.co.uk. Apply tot his job Apply To this Job

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