Première détection par notre source: il y a 24 jours
Analytics Leader - Fully Remote | Upto $70/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Data Science and Analytics Expert at $60 to $70 per hour. The work involves building enterprise data science scenarios, analytics tasks and rubrics for Fortune 500 accounts, drawing on predictive modeling, MLOps and business intelligence. The posting requires 5+ years at a Fortune 500 or enterprise organization and direct ownership of production data products or ML systems.
Salaire :
60 $–70 $ de l’heure
Responsabilités :
- Construct enterprise data science scenarios for predictive modeling and analytics governance
- Build analytics tasks across F500 ML development, data pipelines and BI
- Develop data and MLOps scenarios using Snowflake, Databricks, SageMaker and MLflow
- Author rubrics distinguishing enterprise data science judgment from tutorial-level recall
Résumé des exigences :
- 5+ years as data scientist, analytics leader or ML engineer at a Fortune 500 or enterprise organization
- Direct ownership of F500 data products or ML systems in production
- Fluency in enterprise data science tooling and F500 data governance and privacy compliance
- Preferred: prior rubric, curriculum or model documentation authorship
Outils et compétences
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
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
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.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Offres sur Jobsy | 1 626 |
| Voir la page |
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.
Journal
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