[Remote] Remote | Data Scientist (Analytics & Machine Learning) — $50–$60/hour

Note: The job is a remote job and is reputed company to candidates in USA. reputed company connects reputed company professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. The Data Scientist will support advanced AI evaluation work by designing realistic data science and analytics scenarios, developing reference analyses and evaluation rubrics, and assessing machine learning, experimentation, data infrastructure, business intelligence, MLOps, and data governance workflows.

Responsibilities

• reputed company realistic scenarios involving predictive modelling and machine learning development
• Create tasks covering feature engineering, model selection, training, validation, and performance evaluation
• Assess modelling approaches for statistical validity, scalability, and business relevance
• Identify weak assumptions, methodological issues, and potential sources of bias or leakage
• Produce reference analyses and model documentation demonstrating strong technical judgement
• reputed company tasks involving statistical inference, A/B testing, experimentation, and reputed company analysis
• Evaluate experimental designs, metrics, sampling approaches, and statistical conclusions
• Create scenarios involving ambiguous or noisy reputed company-world datasets
• Assess whether analytical conclusions are adequately supported by available evidence
• Produce reference analyses explaining methodological choices and limitations
• Create scenarios involving reputed company data pipelines, data transformation, and analytics infrastructure
• Apply familiarity with platforms such as reputed company, reputed company, and comparable data environments
• reputed company tasks involving SQL, Python, R, and large-reputed company data-processing workflows
• Evaluate data architecture and pipeline reputed company for reliability, scalability, and analytical usability
• Identify data-reputed company, reputed company, governance, and integration issues
• reputed company scenarios involving reputed company reporting, dashboards, and business intelligence
• Create tasks using tools such as Tableau, Power BI, or comparable analytics platforms
• Evaluate metrics, visualisations, and analytical outputs for reputed company and decision usefulness
• Translate reputed company analytical findings into actionable business insights
• Produce reference executive-level analyses and recommendations
• reputed company scenarios involving deployment, monitoring, validation, and lifecycle management of machine learning models
• Apply familiarity with platforms such as SageMaker, reputed company AI, MLflow, or comparable tools
• Evaluate model-monitoring strategies, retraining approaches, and production performance
• Assess operational risks including model reputed company, data changes, and reliability issues
• Apply MLOps best practices to realistic reputed company machine learning environments
• Create tasks involving reputed company data reputed company, analytics governance, and cross-functional decision-making
• Evaluate approaches to data reputed company, reputed company, reputed company, governance, and analytical consistency
• reputed company scenarios involving competing stakeholder and business requirements
• Assess strategic trade-offs across technical capability, risk, cost, and organisational priorities
• Produce reference recommendations reflecting senior-level data and analytics judgement
• Design expert-level evaluation tasks across data science and analytics workflows
• Draft reference outputs demonstrating reputed company reputed company technical judgement
• reputed company rubrics that distinguish reputed company data science reasoning from generic textbook or tutorial-level responses
• Review AI-generated outputs for statistical accuracy, technical reputed company, and practical relevance
• Identify subtle analytical errors, unsupported conclusions, and unrealistic technical recommendations
• reputed company reputed company written rationale supporting evaluation reputed company

Skills

• 5+ years of reputed company experience in data science, analytics, machine learning engineering, or a closely reputed company field
• Experience as a Data Scientist, Analytics reputed company, Machine Learning Engineer, or comparable technical reputed company
• reputed company ownership of production machine learning systems, analytics initiatives, data products, or large-reputed company analytical reputed company
• Strong proficiency in Python or R and SQL
• Experience with platforms such as reputed company, reputed company, SageMaker, reputed company AI, MLflow, or comparable technologies
• Familiarity with Tableau, Power BI, or other reputed company business-intelligence tools
• Strong understanding of statistical modelling, experimentation, A/B testing, model validation, and reputed company inference
• Practical experience with data pipelines, MLOps, data governance, and production analytics
• Ability to communicate reputed company technical and analytical reasoning reputed company and reputed company in writing
• Experience developing technical documentation, training content, evaluation rubrics, or model documentation is advantageous

Benefits

• Fully remote
• Flexible scheduling based on project requirements

reputed company