24-MAG
2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
Data Scientist
Job not on LinkedIn
🔥 0 minutes ago
🗽 New York – Remote
💵 $95 - $145 / hour
⏳ Contract/Temporary
🟢 Junior
📊 Data Scientist
🚫👨🎓 No degree required
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24-MAG
2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
📋 Description
• Evaluate realistic data science deliverables produced by AI systems or human contributors • Review exploratory data analyses, statistical models, machine learning pipelines, technical reports, Python, SQL, notebooks, and related analytical outputs • Assess analytical correctness, methodology, completeness, practical usefulness, and whether conclusions are supported by available data • Identify flawed assumptions, methodological weaknesses, and unsupported conclusions • Develop precise, task-specific grading criteria and reproducible, defensible evaluation standards • Review feature engineering, model selection, validation, interpretation, experimentation, A/B testing, and causal inference approaches • Provide detailed written justification for evaluation scores and communicate technical findings to specialist and broader audiences • Incorporate structured reviewer feedback and calibrate evaluations against established standards • Maintain accuracy and consistency across complex review assignments • Join a talent network for potential future advanced AI and data science consulting projects; no immediate project is currently available
🎯 Requirements
• At least 1 year of professional data science experience • Strong proficiency in Python and SQL • Hands-on experience with statistical modelling and machine learning • Experience designing or analysing experiments and A/B tests • Familiarity with causal inference methods • Ability to work effectively with messy, real-world datasets • Strong analytical reasoning and attention to detail • Excellent written communication skills • Ability to explain technical conclusions clearly and precisely • Comfort receiving feedback and calibrating professional judgment against established standards • A degree in data science, statistics, computer science, mathematics, economics, engineering, or a related quantitative discipline may be highly relevant • Advanced quantitative or machine learning training may strengthen an application • Equivalent professional experience demonstrating strong data science expertise may also be considered • Practical experience delivering rigorous real-world analysis is particularly valuable • Nice to have: experience at a leading technology, AI research, quantitative finance, or research organisation • Nice to have: advanced statistical experimentation and causal inference knowledge • Nice to have: production machine learning workflows • Nice to have: exploratory analysis across large or complex datasets • Nice to have: technical notebooks or analytical reports • Nice to have: reviewing or mentoring other data scientists • Nice to have: AI evaluation, structured review, benchmarking, or human-data projects
🏖️ Benefits
• Potential future remote consulting opportunities • Project-based opportunities • Potential rates of $95–$145 per hour depending on expertise and individual project scope • Flexible workload, duration, schedule, and responsibilities varying by project
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