Note: The job is a remote job and is open to candidates in USA. Scaling.com is a research and advising firm that helps founders and entrepreneurs scale their businesses significantly. They are seeking a Ph.D.-level Research Data Scientist to analyze a unique dataset and identify patterns that drive business scaling, while also publishing findings for both the Scaler community and academic journals.

Responsibilities

• Analyze our Scaler dataset — strategy call recordings, revenue data, and portal data — to identify meaningful patterns, themes, trends, and correlations
• Study our highest-performing Scalers to extract what differentiates them: the moves they make, what they cut, how their teams reconstitute, and how they raise their floor
• Publish a monthly white paper for the Scaler community on what's working right now — core themes, top-performer behaviors, and measurable outcomes from the last 30 days
• Publish in peer-reviewed academic business journals on a quarterly cadence, building a legitimate research line around the science of scaling
• Lead and guide our data capture — tell us what data we should be collecting from Scalers and strategists, and raise the quality of the dataset over time
• Use AI tools fluently (we use Avoma for call intelligence) to accelerate theme detection and analysis across hundreds of engagements
• Translate findings into digestible, compelling writing — and present them live to our Scaler community at events
• Build the foundation of a long-term research engine and intellectual property base for Scaling.com

Skills

• A Ph.D. candidate, recent Ph.D. graduate, postdoctoral researcher, or early-career professor in business, psychology, organizational behavior, entrepreneurship, or a related quantitative field
• Strong quantitative and qualitative research capability — you can design a study, run the analysis, and defend the methodology
• Experience with (or a clear path to) peer-reviewed academic publishing in business or social science journals
• Exceptional writing across registers — rigorous enough for an academic journal, clear enough for a founder reading a white paper
• Fluent with AI-assisted research and analysis tools, and energized by a messy, living dataset rather than a clean archival one
• Genuinely obsessed with what drives business scaling — this is your research lab, not a job between jobs
• You've read The Science of Scaling, you connect with its ideas, and you can work inside our framework and language
• Self-managing and independent — you set the agenda, bring findings forward, and don't wait to be directed

Benefits

• Paid Time Off – Includes vacation days, sick leave, and company holidays
• Remote Work Flexibility – Work from the location of your choice (U.S.-based) with the structure, autonomy, and support to thrive

Company Overview