Dear Hiring manager,

Data Science Engineer, remote

Karhuno Group · Remote · $115,000–$155,000/year · US and EU time zones

Project: DearHiringManager.io

Company: Karhuno Group

Location: Remote

Format: Full-time or part-time contractor

Salary: $115,000–$155,000/year

Eligible countries: United States, Germany, Netherlands, Poland, France, Spain, Italy, Portugal, Ireland

Time zones: US and EU time zones

DearHiringManager.io is one of Karhuno Group's portfolio projects.

The product helps job seekers find the real person behind a job opening. A user pastes a job post URL, and the system identifies the likely hiring manager, their work email, and LinkedIn profile.

We are looking for a data science engineer to improve how we parse job posts, rank likely hiring managers, and measure quality.

What you will work on

  • Improve models and heuristics for identifying likely hiring managers from job posts
  • Work on job post parsing, company matching, and structured extraction pipelines
  • Build evaluation datasets and quality metrics for contact accuracy and recall
  • Design experiments for LLM prompts, structured outputs, and fallback logic
  • Analyze production data to find failure modes and prioritize fixes
  • Collaborate with engineering on scoring, enrichment, and API integrations
  • Improve data pipelines for contacts, verification signals, and user search history
  • Document model behavior and help the team reason about edge cases

What we are looking for

  • 3+ years in data science, ML engineering, or applied research on production systems
  • Strong Python and SQL for analysis, pipelines, and experimentation
  • Experience with NLP, information extraction, or ranking problems
  • Comfort working with LLM APIs and structured JSON outputs in real products
  • Ability to define metrics, run offline evals, and validate changes in production
  • Experience collaborating with software engineers on integrated ML features
  • Ability to work independently and ship improvements iteratively
  • Fluent English

Nice to have

  • Experience with OpenAI or other LLM providers in production
  • Background in recruiting, job boards, enrichment, or people-search products
  • Experience with Supabase, Postgres, or event/analytics data
  • Knowledge of contact verification, email deliverability, or entity resolution
  • Early-stage SaaS experience where you owned models end to end

Why join

  • You will work on a live product where model quality directly affects user outcomes.
  • This is a hands-on role with real data, real users, and room to improve core algorithms quickly.

How to apply

Send a short note about yourself and links to ML, data, or evaluation work you have done.

Contact: lars@dearhiringmanager.io