高级BI数据研究员
Senior BI Data Researcher
Senior BI Data Researcher
工作安排：100% 远程
地点：远程（美国）
雇佣类型：全职
参与类型：直接雇佣
最终面试：职位简介
Dhaka Technologies Limited 公司正在为教育和研究领域的直接雇佣客户招聘一名 Senior BI Data Researcher。这是一份全职、100% 远程的工作，年薪基础薪资为 14 万美元至 16 万美元。该职位专注于现代数据环境中的高级研究和工程，包括大数据管理、大规模自助数据清洗和转换、数据质量、结构化数据的搜索与发现、信息提取、时间序列和异构数据分析、元数据管理、应用人工智能、机器学习和数据挖掘、数据可视化以及自然语言处理。工作内容还涉及大数据系统相关问题，如资源管理、存储、缓存、查询处理、查询优化、安全性和隐私保护。
关键职责
研究异构数据管理技术和多存储系统，包括将人工智能和机器学习技术应用于基础数据管理问题，如数据质量、数据概要、数据集成和模式匹配。
开发工具和框架，以支持跨数据领域（包括表格、时间序列、文本、音频和视频）的机器学习模型和数据科学算法的可扩展开发。
创建分布式数据处理架构，利用边缘计算能力以实现预测性路由、数据驱动体验和自适应环境等创新用例和应用。
与同行研究团队合作，识别并探索相邻领域中的数据相关机会，包括音频和视频中的应用人工智能和机器学习。
所需技能和资格
计算机科学或相关领域的博士学位。
在关系型数据库、大数据系统和数据分析系统方面有扎实的背景。
在数据管理、数据清洗、分布式系统、数据库存储引擎、查询处理、查询优化和应用数据科学方面具有专业知识。
在多种数据类型（包括表格、时间序列、文本、音频和视频）上具备开发机器学习模型和数据科学算法的实际经验。
了解 Git 和项目管理工具如 JIRA。
申请方式
如需申请，请将简历发送至，并在主题栏注明职位名称。
查看英文原文
Job Title: Senior BI Data Researcher Work Arrangement: 100% Remote Location: Remote (United States) Employment Type: Full Time Engagement Type: Direct Hire Final Interview: Position Summary Dhaka Technologies Limited Company is hiring a Senior BI Data Researcher for a direct-hire client in the education and research sector. This is a full-time, 100% remote position with a base salary of $140,000 to $160,000 per year. The role focuses on advanced research and engineering across the modern data landscape, including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogeneous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, and natural language processing. The work also spans big data systems concerns such as resource management, storage, caching, query processing, query optimization, security, and privacy. Key Responsibilities Investigate heterogeneous data management techniques and polystore systems, including the application of AI and machine learning techniques to foundational data management problems such as data quality, data profiling, data integration, and schema matching. Develop tools and frameworks that enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio, and video. Create distributed data processing architectures that leverage compute at the edge to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments. Collaborate with peer research teams to identify and pursue data-related opportunities in adjacent domains, including applied AI and machine learning in audio and video. Required Skills and Qualifications PhD in Computer Science or a closely related field. Strong background in relational databases, big data systems, and data analytic systems. Expertise in data management, data cleaning, distributed systems, database storage engines, query processing, query optimization, and applied data science. Hands-on experience developing machine learning models and data science algorithms across diverse data types, including tabular, time series, text, audio, and video. Working knowledge of Git and project management tools such as JIRA. How to Apply To apply, please submit your resume to with the job title in the subject line. Qualified candidates will be contacted for the next steps in the selection process.Originally posted on Himalayas