Remote | Senior Product & Growth Data Scientist — $115–$165/hour

We 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 Responsibilities

Data Science Deliverable Evaluation

• Review analytical studies, predictive models, dashboards, experiment readouts, and written recommendations
• Assess work for technical accuracy, methodological quality, business relevance, and clarity
• Identify analytical errors, unsupported conclusions, weak assumptions, and inappropriate methodological choices
• Determine whether deliverables meet professional standards for product, growth, and business decision-making

Evaluation Criteria & Rubric Development

• Design precise, task-specific grading criteria for real-world data science deliverables
• Define measurable standards covering analytical approach, statistical validity, metric selection, interpretation, and communication
• Ensure evaluation frameworks reflect realistic expectations from industry data science teams
• Refine assessment criteria based on structured feedback and calibration outcomes

Experimentation & Product Analytics Review

• Evaluate experiment design, A/B testing methodology, sample construction, statistical analysis, and result interpretation
• Review product, growth, and operational metrics for relevance, consistency, and decision-making value
• Assess whether findings are supported by appropriate evidence and analytical methods
• Identify risks involving bias, confounding variables, metric selection, or overinterpretation

SQL, Python & Analytical Review

• Review SQL and Python-based analyses for correctness, efficiency, reproducibility, and clarity
• Assess data preparation, transformation, validation, and modelling workflows
• Evaluate dashboards and reporting outputs for accuracy, usability, and alignment with business questions
• Review written recommendations for logical consistency and practical relevance

Scoring & Written Justification

• Score AI-generated and human-created work against structured evaluation criteria
• Provide detailed written explanations supporting each assessment decision
• Apply consistent, evidence-based judgment across different datasets, industries, and analytical scenarios
• Incorporate feedback from senior reviewers and adjust evaluation approaches efficiently

Ideal Profile

Strong candidates may have:

• At least 5 years of professional data science experience in an industry environment
• Experience in product, growth, business operations, marketplace, or commercial data science
• Strong command of experiment design, A/B testing, metric development, and statistical analysis
• Advanced practical experience with SQL and Python
• Ability to evaluate models, dashboards, analytical outputs, and written recommendations
• Experience communicating findings to executive, product, operational, or commercial stakeholders
• Exceptional written communication and the ability to explain technical judgments clearly
• Strong attention to detail and comfort having evaluation decisions reviewed and calibrated

Educational Background

• A degree in data science, statistics, computer science, mathematics, economics, engineering, or a related quantitative field is helpful
• Graduate-level training in statistics, econometrics, machine learning, operations research, or a related discipline may be valuable
• Professional experience in product analytics, experimentation, growth analytics, or business intelligence is highly relevant
• Equivalent hands-on experience delivering complex analytical work in industry may also be considered

Nice to Have

• Experience at a leading technology company, digital platform, marketplace, or data-driven consumer business
• Familiarity with causal inference, experimentation platforms, forecasting, or predictive modelling
• Experience developing executive dashboards, metric frameworks, and decision-support materials
• Strong understanding of product funnels, retention, engagement, conversion, and growth metrics
• Experience reviewing work produced by analysts, data scientists, or cross-functional technical teams
• Previous involvement in AI evaluation, structured review, benchmarking, or quality-assurance projects
• Experience developing analytical standards, training materials, or internal review frameworks

Why This Opportunity

• Apply senior-level data science judgment to structured remote evaluation work
• Define what strong analytical reasoning and industry-quality execution should look like
• Review realistic analyses, experiments, models, dashboards, and recommendations
• Use your expertise to improve consistency, accuracy, and rigor across data science evaluation workflows
• Participate in flexible assignments with competitive hourly compensation

Contract Details

• Independent contractor role
• Fully remote with flexible scheduling
• Part-time workload depending on project availability and scope
• Competitive rates between $115–$165 per hour depending on experience, technical depth, and project requirements
• Weekly payments via Stripe or Wise
• The selection process may include a resume review, brief technical assessment, or request for additional professional information
• Projects may be extended, shortened, or adjusted depending on scope and performance
• Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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