Analytics Leader - Fully Remote | Upto $70/hr
关于工作的职位，默科尔将精英创意和技术人才与领先的人工智能研究实验室联系起来。总部位于旧金山，我们的投资者包括 Benchmark,General Catalyst,Peter Thiel,Adam D'Angelo,Larry Summers 和 Jack Dorsey.位置：数据科学和分析专家类型：合同补偿：$60~$70/小时 地点：远程角色责任 ·为大型预测建模，多利益相关者的智能分析治理以及富士顿500账户中的复杂数据基础设施决策构建企业数据科学场景。·在 F500机器学习开发，企业数据管道模型和规模上的商业领域建立分析任务。· 使用 Snowflake,Databricks,Python/R,SQL, Tableau/Power BI 等工具以及企业 ML 平台开发数据和 MLOps 场景。·应用包括统计严格性，A / B 测试框架，模型验证和 MLOp 最佳实践在内的企业数据科学方法，以产生参考分析和高管层次见解。· 作者将真正的企业数据科学的判断与通用教科书或教程级回忆区分为专题。资格必须有5年以上作为数据科学家，分析领导者或 ML 工程师工作于财富500强科技或企业组织。· 直接拥有 F500数据产品，分析举措或机器学习系统。· 熟练掌握企业数据科学工具和方法，了解 F500数据治理，隐私遵守以及跨功能利益相关者调整。最喜欢的 · 前面条目，技术课程或模型文档作者。申请过程 （需要2030分钟才能完成）· 上传简历 ·基于简历的人工智能采访 ·提交表资源 & 支持 · 请查看有关采访流程和平台信息的详情：· 任何帮助或支持，请联系 PS:我们的团队每天审查应用程序。你可以完成 AI 面试和申请步骤，以便考虑这个机会。
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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:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas