Remote Data Scientist Jobs in Hackensack, NJ (NOW HIRING)

Join Our Talent Network For Advanced AI ResearchWe are sharing a specialised opportunity for experienced data scientists interested in joining a talent network for potential future consulting projects involving advanced AI research and real-world data science evaluation. There is currently no immediate project opening associated with this network. Qualified professionals may be contacted as relevant opportunities become available. Future projects may focus on evaluating how effectively AI systems perform practical data science work across statistical modelling, machine learning, experimentation, exploratory analysis, feature engineering, and technical reporting.Key ResponsibilitiesData Science EvaluationEvaluate realistic data science deliverables produced by AI systems or human contributorsReview exploratory data analyses, statistical models, machine learning pipelines, and technical reportsAssess analytical correctness, methodology, completeness, and practical usefulnessIdentify flawed assumptions, methodological weaknesses, or unsupported conclusionsApply professional data science judgment to complex analytical workEvaluation Criteria & Rubric DevelopmentDevelop precise, task-specific grading criteria for data science assignmentsDefine standards for high-quality analytical and machine learning workCreate evaluation criteria that distinguish rigorous analysis from incomplete or superficial approachesApply consistent standards across multiple work samplesHelp ensure assessments are reproducible and defensibleStatistical & Machine Learning ReviewReview statistical modelling and machine learning workflowsEvaluate feature engineering, model selection, validation, and interpretationAssess experimentation and A/B testing analysesReview causal inference approaches where relevantExamine whether analytical conclusions are appropriately supported by available dataTechnical Analysis & Written FeedbackReview Python, SQL, notebooks, technical reports, and related analytical outputsProvide detailed written justification for evaluation scoresCommunicate technical findings clearly to both specialist and broader audiencesIncorporate structured reviewer feedback and calibrate evaluations against established standardsMaintain accuracy and consistency across complex review assignmentsIdeal ProfileStrong candidates may have:At least 1 year of professional data science experienceStrong proficiency in Python and SQLHands-on experience with statistical modelling and machine learningExperience designing or analysing experiments and A/B testsFamiliarity with causal inference methodsAbility to work effectively with messy, real-world datasetsStrong analytical reasoning and attention to detailExcellent written communication skillsAbility to explain technical conclusions clearly and preciselyComfort receiving feedback and calibrating professional judgment against established standardsEducational BackgroundA degree in data science, statistics, computer science, mathematics, economics, engineering, or a related quantitative discipline may be highly relevantAdvanced quantitative or machine learning training may strengthen an applicationEquivalent professional experience demonstrating strong data science expertise may also be consideredPractical experience delivering rigorous real-world analysis is particularly valuableNice to HaveExperience at a leading technology, AI research, quantitative finance, or research organisationAdvanced experience with statistical experimentationStrong causal inference knowledgeExperience building production machine learning workflowsFamiliarity with exploratory analysis across large or complex datasetsExperience authoring technical notebooks or analytical reportsBackground reviewing or mentoring other data scientistsPrior experience with AI evaluation, structured review, benchmarking, or human-data projectsWhy This OpportunityJoin a network considered for future advanced AI and data science projectsApply professional data science expertise to realistic analytical evaluation workWork across machine learning, statistics, experimentation, causal inference, and exploratory analysisHelp establish rigorous quality standards for AI-generated data science workAccess potential future remote consulting opportunities as relevant projects become availableContract DetailsRemote, project-based opportunitiesThere is no immediate project opening associated with this talent networkQualified applicants may be contacted as suitable projects become availablePotential rates are expected to range between $95–$145 per hour depending on expertise and individual project scopeSpecific workload, duration, schedule, and responsibilities will vary by projectFuture work may include data science evaluation, rubric development, analytical review, scoring, and written technical feedbackJoining the network does not guarantee placement on a future projectThis opportunity is available through 24-MAG LLC. 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