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Première détection par notre source: il y a 24 jours

Senior Data Scientist - F500 Expert

@ Mercor

Toutes ses offres Site Web

Toronto, Ontario

60–70 $/h5+ ans d’expérience
Postuler
SIGNAUX

En bref

Mercor is hiring a Senior Data Scientist on a remote contract at $60 to $70 per hour to build enterprise data science scenarios and rubrics for leading AI research labs. The work covers predictive modeling, analytics governance and data pipelines drawn from Fortune 500 contexts. Candidates need 5+ years in data science or ML at a Fortune 500 organization.

Salaire :

60 $–70 $ de l’heure

Responsabilités :

  • Build enterprise data science scenarios for predictive modeling and analytics governance
  • Develop analytics tasks across ML model development and enterprise data pipelines
  • Apply statistical rigor, A/B testing and MLOps best practices to produce executive insights
  • Author rubrics distinguishing expert data science judgment from textbook recall

Résumé des exigences :

  • 5+ years as a data scientist, analytics leader or ML engineer at a Fortune 500 company
  • Direct ownership of data products or ML systems in production
  • Fluency in enterprise data science tooling and methodologies
  • Understanding of data governance and privacy compliance
  • Prior rubric or curriculum authorship preferred

Outils et compétences

SnowflakeDatabricksPythonRSQLTableauPower BISageMakerVertex AIMLflow
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-17
Mise à jour du dossier source
2026-10-17

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience5 an(s) et plus
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Mercor

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Description complète de l’entreprise

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

Abonnés LinkedIn
654 507
Personnes associées sur LinkedIn
5 250
Bureaux déclarés
  • San Francisco, California 94105, US
Catégories d’activité
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Autres noms enregistrés
  • Mercor
Le profil indique une agence de recrutement
Oui
Investissement total déclaré
483 600 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Toutes ses offres Site Web

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

ChampValeur
SecteurSoftware Development
Taille51-200 employees
Siège socialSan Francisco, California
Type d’organisationPrivately Held
Fondée en2023
Offres sur Jobsy1 626
LinkedInVoir la page
Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science and Analytics Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise data science scenarios for large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts.
  • Build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale.
  • Develop data and MLOps scenarios using tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms like SageMaker, Vertex AI, and MLflow.
  • Apply enterprise data science methodologies including statistical rigor, A/B testing frameworks, model validation, and MLOps best practices to produce reference analyses and executive-level insights.
  • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook or tutorial-level recall.

Qualifications

Must-Have

  • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
  • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
  • Fluency in enterprise data science tooling and methodologies, with understanding of F500 data governance, privacy compliance, and cross-functional stakeholder alignment.

Preferred

  • Prior rubric, technical curriculum, or model documentation authorship.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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