优实习 | Google、LinkedIn 2019暑期实习 | UXUI/Data

• Become a subject matter expert on employee networks, behaviors, and trends based on your analysis of meeting data.

• Influence critical product and marketing decisions by gathering and analyzing product usage and user research data.

• Partner with Product and Engineering teams to build/maintain reports, dashboards, and metrics to monitor meeting dynamics, and identify trends and opportunities.

• Construct large data sets built from multiple sources and conduct statistical analyses, such as regressions, network analysis, factor analyses, etc.

• Develop and execute analysis plans for ongoing projects and communicate findings and recommendations to influence teammates to take action.

• Currently pursuing a BS degree in Economics, Statistics, Finance, Industrial/Organizational Psychology, Mathematics, Operations, or another related field.

• Experience with SQL and statistical methods/coding (R, SAS, Matlab).

• Experience as an analyst, researcher or data scientist with large, complex datasets.

Sunnyvale，CA

http://suo.im/4xKxZ6

• Visualize complex employee collaboration data and make an impact on business decisions and develop high-level and detailed user flows, mockups, wireframes and prototypes to effectively communicate interaction and design ideas.

• Assess current product usability, making constructive suggestions for improvement and become a subject matter expert on employee collaboration behaviors based on user studies.

• Influence critical product and marketing decisions by providing target product recommendations.

• Develop and execute analysis plans for ongoing projects and communicate findings and recommendations to influence teammates to take action.

• Currently pursuing a MS or PhD in Design (e.g., Interaction, Graphic, Visual Communications, Product, Industrial), Human Computer Interaction, Computer Science, or a related field.

• Experience with communicating interaction and design ideas through storyboards, wireframes and prototypes.

• Experience with user-centered, usability and aesthetic design principles.

• Experience with data visualization principles, best practices, and with one or more data visualization tools (e.g., D3, Google Charts, Tableau, Google Data Studio, JavaScript charting libraries, R charting libraries, etc.).

San Francisco，CA

http://suo.im/5oo2hy

职位描述

• Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success.

• Develop and improve our experimentation methodologies and research the next generation features for the platform

• Craft compelling stories; make logical recommendations; drive informed actions.

• Engage with internal technology partners to prototype and validate tools developed in-house for near-real-time processing of very large datasets
  Leveraging computational social science to produce insights and product strategies

• Act as an experimentation, forecasting or computational social science expert both in and out of the team.

• Initiate and drive projects to completion with minimal guidance

• Play a critical role in building a strong, thoughtful and fair experimentation ecosystem at LinkedIn.

• Communicate findings to senior leaders and evangelize data-driven business decisions

• Actively participate in and contribute to our effort in education and evangelization.

• Design and implement private algorithms with provable guarantees.
  Engage with various teams to discuss privacy and how it can enable future use cases.

• Educate team members and others about the privacy, utility, and computation tradeoffs of the algorithms you design. 

职位要求

• Currently pursuing an MS or PhD in Statistics, Computer Science, Applied Math, Economics, Political Science, or related quantitative or social sciences field and returning to the program after the completion of the internship 

• Experience at least one of the following programming languages (R, Python, Scala, Java OR C+)

• Expected to complete degree by July 2021 or earlier

实习地点

报名方式

http://suo.im/4qelrX