精选Data岗位 | Cummins、Intuitive、Tempus Labs等公司发布最新岗位！
为大家献上今天的精选岗位！
👇👇👇
Bachelor's degree in Information Systems, Computer Science, Engineering, Data Science/Statistics, Mathematics, Finance or similar education or training
2+ years of experience developing analytics data stores
2+ years of experience developing data pipelines and data orchestration tools (i.e. Airflow)
2+ years of experience with direct stakeholder management and ownership of full lifecycle of analytics/data projects
Experience with Python for data engineering or advanced data analysis projects/use-cases
Experience building cloud-native applications and supporting technologies / patterns / practices, especially on the Google Cloud Platform (GCP)
Experience developing integrated solutions in a “microservices” environment
Experience building data solutions utilizing API’s as input data sources
Advanced SQL skills for querying and analysis of large, complex datasets
Experience gathering requirements and building requirements documents
Must work well in a team environment and be able to partner with both business and technical team members and translate technical language to the non-technical need
Creative problem solver, ability to handle multiple projects, and strong work ethic needed
Excellent written and verbal communication skills
Highly organized and systematic, superb attention to detail
Able to complete tasks with a high degree of accuracy and an eye towards process improvement
Persistent and resilient person who thrives in a fast-paced, highly iterative environment
University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.
Current enrollment in a Data Science degree-seeking program at the Master’s level.
Associated advanced data wrangling skills, including SQL and python (or equivalent, such as R) and natural language procession.
Associated modeling skills, including but not limited to, feature selection, recognizing and correcting bias in data, multivariate regression and logistic regression, random forest, clustering, etc. These skills should be part of any competent Master’s program.
Strong interpersonal skills and communication skills (verbal, written, and graphically via Tableau or similar).
Abstract Reasoning
Data Mining
Data Reduction
Predictive Modeling
Statistical Foundations
Programming
Customer Focus
Global Perspectives
Data Analytics
Data Literacy
Data Profiling
Data Communication and Visualization
Data Quality
Data Analytics
Customer Focus
Tech Savvy
海投小程序福利预览
部分offer展示
依托硅谷顶尖科技公司资深工程师教师资源，针对华人学生面试短板，打造精悍高效、高技术含量且紧贴面试趋势的求职辅导课程，帮助学员提高硬核能力、熟知面试技巧，拓展职场人脉，从而进入硅谷顶尖科技公司。
专业团队，经验打造，助你全面提升求职准备效率，短时间内迅速提升面试能力！
数据科学求职旗舰课重磅更新
软件工程师求职旗舰课全面升级
微信扫码关注该文公众号作者