This page was automatically translated and may contain errors. View in English.
C

Data Science Analyst

CodeGeniusRecruit

Remote · Contracter

Soyez le premier à postuler

Expérience
N'importe lequel
Salaire
USD 70 – USD 100 / hour
Ouvertures
1
Publié
il y a 5 heures
Work mode
Travaillez à domicile
Eligibility
Candidates in the United States who can work on a full-time weekday schedule in a remote W2 contract role.
Resume
Required to apply

Description de l'emploi

Role overview

This is a remote contract opportunity in the United States for a Data Science Analyst working under a W2 arrangement. The role is structured as full-time work at 40 hours per week, limited to weekdays.

Compensation

The engagement pays between $70 and $100 per hour.

What you will do

  • Advise teams on data science methods, statistical inference, and modeling approaches.
  • Develop and structure complex analytical tasks into clear, workable solutions.
  • Review outputs produced by systems and experts, then deliver precise technical feedback.
  • Create assessment frameworks for statistical reasoning, machine learning pipeline design, and data analysis quality.
  • Work with subject matter experts to keep training workflows accurate and consistent.

What we are looking for

  • Hands-on background in data science, statistical modeling, data analysis, or applied machine learning.
  • Prior experience reviewing analytical workflows, labeling processes, or feedback-driven evaluation work.
  • Strong writing skills and the ability to explain modeling choices in a clear way.
  • Comfort with LLMs, advanced systems, or agent-style workflows.
  • Availability for a full-time weekday schedule.

Application process

The hiring process includes uploading a resume, completing an interview, and submitting a form.

Laissez ce message si vous souhaitez une réponse — nous ne l'utiliserons à aucune autre fin.

Cliquez pour parcourir, glisser-déposer, ou coller une capture d'écran

PNG, JPG, GIF, MP4, WebM, MOV · 20 Mo maximum par fichier · Jusqu'à 5 fichiers