Data Scientist

Overview

Who is Recruiting from Scratch : Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.

Website : recruitingfromscratch.com

Role

Title : Data Scientist

Location : San Francisco, CA (On-site)

Company Stage of Funding : Hyper-Growth, Highly Profitable Private Company

Office Type : On-site, Full-Time

Salary : $130,000 – $300,000 base + Equity

Company Description

We’re representing one of the fastest-growing companies in the world, already operating at a $100M+ revenue run rate and growing 59% month over month . The company is building advanced LLM-powered models that can predict how well someone will perform in a job better than human recruiters — automating resume review, interviews, and hiring decisions.

The technology is already trusted by the top AI labs globally . Despite rapid growth and profitability, the team remains lean and high-caliber, offering outsized opportunities for new hires to make a direct impact.

What You Will Do

As a Data Scientist , you’ll work across experimentation, analytics, and lightweight modeling to improve the company’s matching, hiring, and payout systems. In your first year, you will :

Define north-star and feature-level metrics for ranking, interview analytics, and payouts.

Design and run A / B tests and quasi-experiments , driving product decisions within days.

Build dashboards and data models to create a source of truth for internal teams.

Partner with engineers to instrument events and improve data quality and latency .

Prototype models (from baselines to gradient boosting) to improve matching and scoring .

Help evaluate LLM-powered agents through rubrics, human-in-the-loop studies, and guardrail tests.

Ideal Background

0–2 years of experience in data science, analytics, or related fields .

BS / BA in a quantitative field (or equivalent experience).

Strong proficiency in SQL and Python for analysis.

Solid understanding of statistics, experiment design, and causal inference .

Strong communication skills — able to translate analysis into clear, actionable decisions.

Preferred

Experience with dbt, dashboarding tools (Hex, Mode, Looker).

Familiarity with marketplace metrics, search / recommendation systems , or LLM / agent evaluation .

Curiosity and excitement to learn alongside teammates from top-tier trading firms, startups, and tech companies.

Compensation and Benefits

Base Salary : $130,000 – $300,000

Equity : Generous early-stage equity package

Relocation : $20,000 bonus for moving to San Francisco

Housing : $10,000 bonus for living within 0.5 miles of the office

Other Perks :

$1,000 / month food stipend

Free Equinox membership

Comprehensive health insurance

High-growth, on-site culture with outsized career trajectory

This is an ideal role for a sharp, early-career data scientist who thrives on experimentation, fast iteration, and applying analytics to high-impact product decisions — all while working at the forefront of LLM-powered hiring technology.

Salary Range : $130,000-$300,000 base. Website : recruitingfromscratch.com

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