Preciprocal is an AI-powered job search operating system. It combines resume analysis (ATS scoring, recruiter eye simulation, candidate benchmarking, interview intelligence), voice-based mock interviews with a multi-agent panel, cover letter generation, AI study planning, LinkedIn optimisation, cold outreach, and a job tracker with contact finder — all in one platform.

Who is Preciprocal for?

Students, recent graduates, and early-career professionals preparing for any role — tech, finance, consulting, marketing, HR, healthcare, legal, and more. Every tool adapts to your target role and industry.

How do I get started?

Sign up free at app.preciprocal.com — no credit card needed. Upload a resume and get your ATS score in 2 minutes, or jump straight into a mock interview. The platform walks you through everything.

Is there a mobile app?

Not yet — Preciprocal is fully web-based and works on any device with a modern browser. A native app is on our roadmap.

How is this different from using ChatGPT?

ChatGPT is a general-purpose chatbot. Preciprocal is a purpose-built system with specialised AI agents for each task — ATS scoring calibrated against real hiring data, a multi-agent interview panel, recruiter eye-tracking simulation based on published research, and a full application pipeline.

Do you have a Chrome extension?

Yes. The Preciprocal Chrome extension lets you save jobs from LinkedIn and job boards with one click, auto-import job descriptions for resume tailoring, and track applications without leaving the page.

How many tools does Preciprocal include?

11 core tools: Resume Analysis (ATS + Benchmarking + Recruiter Sim + Interview Intel), Resume Tailoring, Mock Interviews, Cover Letter Generator, Study Planner, LinkedIn Optimiser, Cold Outreach Generator, Interview Debrief Journal, Job Tracker, Contact Finder, and Chrome Extension.

Does it work for non-tech roles?

Absolutely. Every tool adapts to your target role — whether you're applying for software engineering, finance, consulting, marketing, HR, healthcare, or any other field. The AI tailors its analysis, questions, and recommendations to the specific role and job description you provide.

Is Preciprocal really $9.99/mo?

Yes. Pro is $9.99/month (or $7.49/mo billed annually). We built Preciprocal for students and early-career professionals who can't afford $50–100/mo tools.

Do you offer a free plan?

Yes. The free tier includes 5 resume analyses, 3 mock interviews, 5 cover letters, 2 LinkedIn optimisations, 1 interview debrief, 2 contact lookups, a 10-job tracker, and basic analytics per month. It's a real free plan, not a 7-day trial.

Is there a student discount?

Students with a .edu email get 1 month of Pro completely free — no credit card required to activate.

What's the difference between Pro and Premium?

Pro ($9.99/mo): 20 resume analyses, 30 mock interviews, unlimited cover letters, full resume editor, recruiter eye simulation, and complete analytics. Premium ($24.99/mo): unlimited everything, company-specific prep, advanced study planning, and a full LinkedIn rewrite.

Is there a money-back guarantee?

Yes — 30 days, no questions asked. If Preciprocal doesn't help your job search, email support@preciprocal.com for a full refund.

Can I cancel anytime?

Yes. Cancel from Settings → Billing → Cancel Subscription. No fee, no waiting period. You keep access until the end of your billing period.

How do mock interviews work?

Our voice-based interviews use a multi-agent AI system to simulate a real interview panel — HR screener, technical lead, and hiring manager. You speak into your mic, they respond with follow-up questions, and you get a detailed debrief with scoring across 5 dimensions.

No. Mock interviews are voice-only — you just need a microphone. Your built-in laptop mic works fine.

What types of interviews can I practise?

Technical (coding + system design), behavioural (STAR method), case interviews (consulting), finance interviews (DCF, LBO), marketing strategy, and general screening. You can target specific companies and roles, select difficulty level, and the AI adjusts accordingly.

Can I practise for a specific company?

Yes. Enter the company name and role, and the AI tailors questions to that company's known interview style, values, and technical focus areas.

ATS (Applicant Tracking System) is the software used by most large employers to automatically filter resumes before a human sees them. Our ATS scorer analyses your resume across keyword matching, formatting compatibility, section structure, and header parsing — and gives you a score out of 100 with specific fixes.

What is the Recruiter Eye Simulation?

Based on published eye-tracking research, we simulate how three reviewers approach your document: an HR screener (quick first pass), a technical lead (deeper skill evaluation), and a hiring manager (impact & leadership focus). You see an attention heatmap showing where each reviewer's eyes go and what gets missed.

Can I tailor my resume to a specific job?

Yes. Paste a job description into the Tailor tab, and the AI rewrites specific bullets to better match — adjusting keywords, reframing experience, and prioritising relevant skills. Every change is shown in a clear 'original → rewrite' format for your approval.

How does the cover letter generator work?

Paste a job description and the AI (1) researches the company in real-time, (2) analyses job requirements against your resume, and (3) writes a personalised letter connecting your experience to their needs, referencing real company details.

How does the AI Study Planner work?

Enter your target role, interview date, current skill level, and daily time commitment. The AI generates a personalised day-by-day schedule with tasks, curated resources, daily quizzes, and an AI coach you can ask questions anytime.

Yes. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). We never sell your data, never use it for advertising, and never share it with third parties.

Do you use my resume to train AI models?

No. Your data is used exclusively to serve you. It is never used to train, fine-tune, or improve any AI models.

How do I contact support?

Email support@preciprocal.com or use the in-app support widget in Settings → Support. We respond within 24 hours on weekdays.

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Data Scientist salary guide 2026

Real salary data for data scientists — base pay, total compensation, equity benchmarks, and how to negotiate your next offer.

Median Base Salary

$130,000

Median Total Comp

$155,000

Data Scientist salary by level

Level	Experience	Base Salary	Total Comp
Junior DS / L3	0–2 years	$90,000 – $120,000	$105,000 – $145,000
DS / L4	2–5 years	$120,000 – $155,000	$145,000 – $195,000
Senior DS / L5	5–9 years	$150,000 – $185,000	$195,000 – $280,000
Staff DS / L6	9+ years	$180,000 – $220,000	$300,000 – $450,000+

Equity notes and total comp details below each level.

Junior DS / L3:

Entry-level RSUs at big tech; modest equity at startups

DS / L4:

RSUs ~$20K–45K/yr; production ML experience unlocks higher bands

Senior DS / L5:

MLOps/production ML seniors approach SWE L5 compensation

Staff DS / L6:

Research Scientists / Staff DSs at AI labs can far exceed this range

Top paying cities for data scientists

1.San Francisco Bay Area
2.Seattle
3.New York City
4.Boston
5.San Diego

What determines your data scientist salary

→
Research vs applied split: AI/research scientists at top labs (OpenAI, Anthropic, DeepMind) earn dramatically more than applied DS at typical companies
→
Production ML premium: DSs with MLOps and deployment experience earn 15–25% more than pure notebook scientists
→
Domain specialty: NLP, computer vision, and reinforcement learning specialists command premium rates
→
PhD premium: 5–15% in research-leaning roles; minimal in applied/startup settings
→
Industry vertical: finance (quant/data science hybrids), healthcare AI, and adtech pay highest outside pure AI labs

Negotiation script that works

Use this exact script when you receive a data scientist offer. Most hiring managers expect negotiation and have 5–15% room above the first offer.

"Thank you — I'm really interested in joining the team. I've been looking at market data for data scientists with production ML experience at this scale, and I was expecting something closer to [$X] total compensation. Given my background in [specific skill — MLOps, experimentation, NLP, etc.], I think that's a fair ask. Is there room to move?"

Replace [$X] with your target number. Research Levels.fyi, Glassdoor, and LinkedIn Salary before the conversation.

Data aggregated from Levels.fyi, Glassdoor, LinkedIn Salary, Kaggle annual survey (2025–2026). AI lab compensation varies significantly and may exceed ranges shown.

Resume tips

Data Scientist resume guide →

Cover letter

Data Scientist examples →

Interview prep

Practice questions →

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You can't negotiate a salary you haven't been offered. Get your resume past ATS and practice your interview with Preciprocal.

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