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Specialised Part-Time Consulting Opportunity for Data Science ProfessionalsWe are sharing a specialised part-time consulting opportunity for experienced data science professionals skilled in experiment design, A/B testing, product analytics, metric development, SQL and Python analysis, dashboard review, and structured evaluation of real-world data science work.This role supports current and upcoming remote consulting opportunities focused on evaluating professional data science deliverables and defining clear standards for high-quality analytical work. Selected professionals will develop task-specific assessment criteria, review AI-generated and human-created outputs, score completed work, and provide detailed written feedback grounded in practical industry experience.Key ResponsibilitiesData Science Deliverable EvaluationReview analytical studies, predictive models, dashboards, experiment readouts, and written recommendationsAssess work for technical accuracy, methodological quality, business relevance, and clarityIdentify analytical errors, unsupported conclusions, weak assumptions, and inappropriate methodological choicesDetermine whether deliverables meet professional standards for product, growth, and business decision-makingEvaluation Criteria & Rubric DevelopmentDesign precise, task-specific grading criteria for real-world data science deliverablesDefine measurable standards covering analytical approach, statistical validity, metric selection, interpretation, and communicationEnsure evaluation frameworks reflect realistic expectations from industry data science teamsRefine assessment criteria based on structured feedback and calibration outcomesExperimentation & Product Analytics ReviewEvaluate experiment design, A/B testing methodology, sample construction, statistical analysis, and result interpretationReview product, growth, and operational metrics for relevance, consistency, and decision-making valueAssess whether findings are supported by appropriate evidence and analytical methodsIdentify risks involving bias, confounding variables, metric selection, or overinterpretationSQL, Python & Analytical ReviewReview SQL and Python-based analyses for correctness, efficiency, reproducibility, and clarityAssess data preparation, transformation, validation, and modelling workflowsEvaluate dashboards and reporting outputs for accuracy, usability, and alignment with business questionsReview written recommendations for logical consistency and practical relevanceScoring & Written JustificationScore AI-generated and human-created work against structured evaluation criteriaProvide detailed written explanations supporting each assessment decisionApply consistent, evidence-based judgment across different datasets, industries, and analytical scenariosIncorporate feedback from senior reviewers and adjust evaluation approaches efficientlyIdeal ProfileStrong candidates may have:At least 5 years of professional data science experience in an industry environmentExperience in product, growth, business operations, marketplace, or commercial data scienceStrong command of experiment design, A/B testing, metric development, and statistical analysisAdvanced practical experience with SQL and PythonAbility to evaluate models, dashboards, analytical outputs, and written recommendationsExperience communicating findings to executive, product, operational, or commercial stakeholdersExceptional written communication and the ability to explain technical judgments clearlyStrong attention to detail and comfort having evaluation decisions reviewed and calibratedEducational BackgroundA degree in data science, statistics, computer science, mathematics, economics, engineering, or a related quantitative field is helpfulGraduate-level training in statistics, econometrics, machine learning, operations research, or a related discipline may be valuableProfessional experience in product analytics, experimentation, growth analytics, or business intelligence is highly relevantEquivalent hands-on experience delivering complex analytical work in industry may also be consideredNice to HaveExperience at a leading technology company, digital platform, marketplace, or data-driven consumer businessFamiliarity with causal inference, experimentation platforms, forecasting, or predictive modellingExperience developing executive dashboards, metric frameworks, and decision-support materialsStrong understanding of product funnels, retention, engagement, conversion, and growth metricsExperience reviewing work produced by analysts, data scientists, or cross-functional technical teamsPrevious involvement in AI evaluation, structured review, benchmarking, or quality-assurance projectsExperience developing analytical standards, training materials, or internal review frameworksWhy This OpportunityApply senior-level data science judgment to structured remote evaluation workDefine what strong analytical reasoning and industry-quality execution should look likeReview realistic analyses, experiments, models, dashboards, and recommendationsUse your expertise to improve consistency, accuracy, and rigor across data science evaluation workflowsParticipate in flexible assignments with competitive hourly compensationContract DetailsIndependent contractor roleFully remote with flexible schedulingPart-time workload depending on project availability and scopeCompetitive rates between $115–$165 per hour depending on experience, technical depth, and project requirementsWeekly payments via Stripe or WiseThe selection process may include a resume review, brief technical assessment, or request for additional professional informationProjects may be extended, shortened, or adjusted depending on scope and performanceWork will not involve access to confidential or proprietary information from any employer, client, or institutionAbout the PlatformThis opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.