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Mercor
Enterprise Data Science Specialist
Offre en anglais
MercorMontreal, Quebec, Canada · Télétravail
Publié 7 août 2026
60 $ US–70 $ US / heure
Temps partielTélétravailExpérimentéPower BISQLTableauApprentissage automatiquePython
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Résumé du poste
Construct enterprise data science scenarios for predictive modeling and analytics governance at Fortune 500 accounts. Develop data and MLOps tasks using various enterprise platforms and author rubrics to evaluate data science judgment.
Détails du poste
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 and multi-stakeholder analytics governance at Fortune 500 accounts. Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale. Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow. Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights. Author rubrics that distinguish authentic enterprise data science judgment from generic textbook 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 an understanding of F500 data governance and privacy compliance. 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: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
Ce que vous ferez
Construct enterprise data science scenarios for predictive modeling and analytics governance at Fortune 500 accounts. Develop data and MLOps tasks using various enterprise platforms and author rubrics to evaluate data science judgment.
Exigences
Requires over 5 years of experience as a data scientist or ML engineer within a Fortune 500 organization. Must have direct ownership of production-level ML systems and fluency in enterprise data governance and privacy compliance.
Compétences indiquées
- Power BI · Souhaitée
- SQL · Souhaitée
- Tableau · Souhaitée
- Apprentissage automatique · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Predictive Modeling
- Machine Learning
- Data Pipelines
- Business Intelligence
- MLOps
- Snowflake
- Databricks
- Python
- R
- SQL
- Tableau
- Power BI
- SageMaker
- Vertex AI
- MLflow
- A/B Testing
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Science & Research
- Engineering
Type d’emploiTemps partiel
Lieu de travailTélétravail
Niveau d’expérienceExpérimenté · 5+ ans
Exigences linguistiquesNon précisé
Postuler avant le6 sept. 2026
Langue de l’offreanglais
Heures de travail40 heures par semaine
Exigences de lieuCountry, Greater Montreal Metropolitan Area
Niveau d’expérienceNot Applicable