> Markdown version of [/jobs/ext/2029580-enterprise-data-science-specialist](https://www.wearedevelopers.com/jobs/ext/2029580-enterprise-data-science-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Science Specialist - **Company:** Mercor, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $124,800.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Governance, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, Azure Machine Learning, SQL Databases, Tableau (Software), Enterprise Data Management, Snowflake, Machine Learning Operations, Databricks - **Published:** August 11, 2026 - **Apply:** https://www.careerjet.com/jobad/us0af195c96e2cedbcd2f7988ac3983f79 ## About the Role * 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. ## Description * 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., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)