---
title: 'Applied Data Scientist at Hop'
canonical: 'https://feeny.ai/job/applied-data-scientist-hop-san-francisco-7w9xf6ma3dea'
type: 'job'
last_seen: '2026-09-09'
---

# Applied Data Scientist at Hop

- **Company:** Hop
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-22
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.lever.co/hophr/8f90e46c-ef76-4617-ab5d-b2a429306e5b

## Job description

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.

We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.

Location: San Francisco, SoMa — minimum 4 days per week in-office.

## What you'll do

- Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.
- Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.
- Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.
- Partner with engineering to move models from experimentation to production; own monitoring and drift detection.
- Build evaluation frameworks for AI-generated outputs across multiple product use cases.

## What we require

- BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.
- 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.
- Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.
- Demonstrated track record of shipping models into production, not just producing analysis.
- Experience with embedding models and semantic similarity at enterprise scale.
- No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

## About Hop

## Company Overview
- **One-liner**: Hop (HopHR) is a recruitment platform that connects U.S. companies with pre-vetted AI, machine learning, and data science talent from Latin America.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Walnut Creek, California, United States
- **Founded**: 2016
- **Founders**: Nazli Nadem and Arash Sohrabian

## Core Business
- **Primary industry/industries**: Staffing and Recruiting (specialized in AI/ML and data science talent)
- **Target customers**: B2B – startups to Fortune 500 companies seeking technical talent, especially in AI, machine learning, and data engineering
- **Mission or purpose statement**: “Break geographic barriers, giving global talent access to high-paying, future-focused roles” and promote diversity in tech hiring.

## Products & Services
- **Recruitment Platform**: AI-driven matching and vetting platform that evaluates candidates using proprietary technology; only top 1 in 500 talents are selected.
- **Direct Hire**: Full-time placement of pre-vetted engineers (AI/ML, data science, full-stack, MLOps, etc.) with a 16-day selection process.
- **Contract-to-Hire**: Trial period engagements before committing to a full-time offer.
- **Team Augmentation**: On-demand scaling of engineering capacity with LATAM-based talent working in U.S. time zones.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Headcount of 16 employees (+12.5% YoY); talent pool of over 100,000 data science and AI professionals worldwide (including 35,000+ women in tech)
- **Notable Investors/Partners**: No disclosed investors; trusted by startups and Fortune 500 companies; featured in Forbes.
- **Growth Signals**: 80% client return rate; LinkedIn followers growing +10.5% yearly; expanding marketing team (hiring Marketing Manager as of Sep 2024).

## Competitive Advantages
- **LATAM Focus**: Timezone-aligned talent (mostly Latin America) enabling real-time collaboration at lower cost compared to U.S.-based hires.
- **Rigorous Vetting**: Proprietary 16-day evaluation covering technical skills, communication, and cultural fit; only top 1 in 500 candidates pass.
- **Diversity Commitment**: Actively promotes hiring of women and underrepresented groups in tech; over 35,000 women in their talent pool.
- **AI-Powered Matching**: Uses machine learning algorithms and a human-segmented database to surface the best candidates quickly.

## Strategic Focus
- **Geographic Expansion**: Continue breaking barriers by connecting LATAM talent with U.S. companies, with a goal to uplift communities.
- **AI Talent Specialization**: Deepening expertise in generative AI, LLMs, and MLOps to meet growing demand.
- **Scalability**: Offering flexible engagement models (direct hire, contract-to-hire, augmentation) to adapt to client needs.

## Why Work Here
- **Culture**: Rated 4.2/5.0 on employer reviews (Culture: 4.3, Career: 4.3, Compensation: 3.8). Described as “zestful,” encouraging bold initiatives and diversity.
- **Work Mode**: Hybrid workspace – employees engage in a combination of remote and on-site work.
- **Notable Perks**: Focus on professional growth; access to top mentors and training on ethics, work culture, and self-mastery.
- **Engineering Culture**: Emphasis on using AI tools to enhance recruitment, with a tech-forward approach and a small, distributed team (16 people across 6 countries).

## Sources
1. [LinkedIn – Hop](https://linkedin.com/company/hophr)
2. [HopHR About Page](https://hophr.com/about)
3. [HopHR Services Page](https://hophr.com/services)
4. [Built In – HopHR Careers](https://builtin.com/company/hophr)
5. [HopHR Jobs on Lever](https://jobs.lever.co/hophr)

## Other roles at Hop

- [Lead Product Manager](https://feeny.ai/job/lead-product-manager-hop-new-york-bz4zr7m451bn) — New York, NY
- [HPC Sr Staff Engineer, Test Jig Core Technology Development](https://feeny.ai/job/hpc-sr-staff-engineer-test-jig-core-technology-development-hop-japan-8g8f6mx40sbb) — Japan
- [HPC SoC Timing Design Engineer/Leader](https://feeny.ai/job/hpc-soc-timing-design-engineer-leader-hop-japan-fzxfhke4zj5h) — Japan
- [Principal Engineer, Application Engineering (f/m/d)](https://feeny.ai/job/principal-engineer-application-engineering-f-m-d-hop-munich-7ahbxvmj1bw3) — Munich, Germany
- [Automotive MCU Chip Architect](https://feeny.ai/job/automotive-mcu-chip-architect-hop-duesseldorf-je6nftbh4adz) — Duesseldorf, Germany
- [Staff/Sr Staff, Automotive MCU Product Marketing (HPC)](https://feeny.ai/job/staff-sr-staff-automotive-mcu-product-marketing-hpc-hop-duesseldorf-3k7jewzd4mra) — Duesseldorf, Germany
- [Senior Director, Physical Design & Backend Engineering (HPC)](https://feeny.ai/job/senior-director-physical-design-backend-engineering-hpc-hop-austin-7cchhvz44ep3) — Austin, TX
- [Automotive MCU Business Development Marketing Director/Sr. Manager](https://feeny.ai/job/automotive-mcu-business-development-marketing-director-sr-manager-hop-japan-70k9899m8nps) — Japan
- [Chief of Staff to SVP](https://feeny.ai/job/chief-of-staff-to-svp-hop-remote-zbm1kq7zfzwa)
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-hop-los-angeles-s6n3xjwpfyq4) — Los Angeles, CA