Data Scientist - AI Search Research

About Writesonic

AI search just hit 800M weekly users. We have visibility into how millions of queries get answered across ChatGPT, Claude, Perplexity, and more. Now we need someone to mine this goldmine.

We're hiring a Data Scientist who turns AI search patterns into viral research. You'll analyze how AI platforms cite sources, discover ranking patterns, and uncover insights that become industry headlines.

The Role

We're looking for a Data Scientist obsessed with uncovering how AI search actually works. You'll run experiments, analyze millions of AI responses, and discover patterns nobody else has found.

Your research won't sit in dashboards. It'll become blog posts with 50K views, LinkedIn posts that go viral, and reports that Forbes cites. You're equal parts scientist and storyteller.

Your Week:

• Test hypotheses about AI citation behavior across platforms
• Analyze patterns in millions of AI responses
• Run controlled experiments. (Does schema markup actually help? Do AI platforms favor recent content?)
• Turn findings into compelling narratives with visualizations
• Write research reports that marketing uses for thought leadership
• Discover "holy shit" insights that become social media gold
• Build predictive models for AI visibility

What You'll Own

• Publish 2-3 major research studies monthly that media outlets cite
• Uncover 5+ actionable insights weekly for our content team
• Build models predicting which content gets AI citations
• Create data visualizations that make complex patterns obvious
• Run 10+ experiments monthly testing AI behavior
• Own our research pipeline from hypothesis to publication
• Become the go-to source for AI search behavior data

You're Perfect If You

Must Haves:

• 3-5 years in data science with focus on research and experimentation
• Experience turning analysis into public-facing content
• Track record of published research or viral data studies
• Strong Python/R and SQL skills
• Excellent data visualization skills (not just matplotlib defaults)
• Natural curiosity about AI and search behavior
• Ability to write findings for non-technical audiences

The Real Test:

• You've discovered non-obvious patterns others missed
• You can explain complex findings in simple terms
• You test weird hypotheses just to see what happens
• You've had findings cited by major publications
• You notice patterns everywhere and can't help investigating

Technical Skills:

• Python for analysis and modeling
• SQL for data extraction
• Visualization tools (Tableau, D3.js, or similar)
• Statistical testing and experimental design
• Basic NLP and text analysis
• API integration and web scraping

Research You'll Conduct

• Platform Behavior Studies: How different AI platforms rank and cite content
• Industry Benchmarks: AI visibility by industry, company size, content type
• Ranking Factors: What actually influences AI citations (length? freshness? schema?)
• Temporal Analysis: How AI responses change over time
• Competitive Intelligence: Why certain brands dominate AI search
• Prediction Models: Forecast which content will get cited
• User Behavior: How people actually use AI search vs traditional search

What Makes You Different

You don't just analyze data, you hunt for stories. When you find something interesting, you can't rest until you understand why. You explain statistics without using statistics. Your visualizations make people stop scrolling.

Most importantly: you're skeptical of everything and test constantly. You question common wisdom and prove it wrong with data.