公司简介:
我们是美国硅谷的人工智能科技公司，是一家引领行业潮流的高科技企业，专注于开发用人工智能和计算机创造价值，增加社会效率，推动技术界和商业界的革新。产品组合涵盖了人工智能、机器学习、区块链、全栈开发、软件工程、数据分析、金融科技等领域。
公司汇集了业界精英，包括前GoogleAl科学家、前AmazonComputer Vision(亚马逊机器视觉)科学家、前惠普工程师、前毕马威咨询事务所顾问，纽约大学医学院等顶级研究员。公司致力于通过持续的软件开发来帮助全球实现数字化。
我们正在寻找充满热情和才华的个人参加人工智能实习项目。这一机会旨在提供在人工智能领域的实践经验，与我们的专家团队合作，为产生显著影响的实际项目做出贡献。
【Data Scientist Internship】
Location: Remote
Duration: 4-12 weeks
Key Responsibilities
· Data Analysis and Mining: Employ sophisticated analytical techniques to extract valuableinsights from large datasets. This involves cleaning, processing, and validating the integrityof data used for analysis.
· Predictive Modeling and Machine Learning: Develop predictive models and use machinelearning algorithms to forecast future trends from data. This includes selecting features,building and optimizing classifiers using machine learning techniques.
· Data Visualization: Create and present clear visual representations of data insights andcomplex concepts to stakeholders. This includes using advanced visualization tools tointerpret data and report findings.
· Collaboration with Stakeholders: Work closely with business stakeholders to understandtheir goals and determine how data can be used to achieve those goals. This involvestranslating business needs into data analytics projects and communicating findings back tothe business in an understandable manner.
· Innovation and Research: Stay current with the latest technology trends, research newtechniques and best practices in data science.Propose innovative solutions andimprovements to existing processes.
· Data-Driven Decision Making: Assist the organization in making data-driven decisions byproviding actionable insights derived from complex data analyses.
Recruitment Requirement
· Undergraduate or graduate students currently enrolled in the United States or English-speaking countries. Major in Data Science,Statistics, Computer Science, or a related field.Industry professionals who want to explore a new area or find a job in a new area.
· Technical Proficiency: Strong programming skills in Python, R, or another data sciencelanguage. Experience with SQL and database management. Familiarity with big datatechnologies such as Hadoop, Spark, or Kafka is a plus.
· Analytical Skills: Ability to interpret complex data, perform statistical analysis, and apply datamining techniques. Strong problem-solving skills and the ability to work on multiple projectssimultaneously.
· Machine Learning Expertise: Experience in using machine learning algorithms and libraries(e.g., scikit-learn, TensorFlow, or PyTorch). Understanding of neural networks, decision trees,regression analysis,and other predictive modeling techniques.
· Communication Skills: Excellent written and verbal communication skills. Ability to translatetechnical data science concepts into clear and understandable terms for non-technicalstakeholders.
· Teamwork and Collaboration: Ability to work effectively in a team environment. Willingnessto share knowledge and learn from others. Strong interpersonal skills.
Uoffer保实习项目，通过与北美企业官方合作的实训项目，针对学生目标领域进行专业能力培训，从而提升学生实战经验和项目经验。如果有需要的可以扫码咨询我们哦~
