Enterprise Data Science Specialist

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

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.

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.

• Power BISouhaitée
• SQLSouhaitée
• TableauSouhaitée
• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

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

• Data & Analytics
• Technology
• Software
• Science & Research
• Engineering

Expérience minimale

5+ ans

Postuler avant le

6 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Greater Montreal Metropolitan Area

Niveau d’expérience

Not Applicable