Remotehey

Work anywhere, Live anywhere

Careerera - Corporate Training - remotehey
Careerera - Corporate Training

PHD Visiting Professor(Data Science)

sweden / Posted
APPLY

Company Description

Careerera - Corporate Training is a dedicated lifelong learning partner for enterprises, focusing on building skills in emerging technologies on a global scale. With innovative learning solutions, Careerera empowers organizations to stay competitive and up-to-date in ever-evolving industries. By delivering high-quality training, the company enables professionals to achieve their career goals and drive organizational success. Careerera is at the forefront of equipping individuals and businesses to navigate the demands of the modern workforce effectively.

Role Description

This is a contract, remote role for a PhD Visiting Professor specializing in Data Science. The Visiting Professor will be responsible for designing and delivering course content, conducting lectures and interactive sessions, and mentoring students. Additional responsibilities include assessing student performances, providing constructive feedback, contributing to research initiatives, and staying updated on the latest advancements in data science. Collaboration with the academic and administrative teams to ensure the effectiveness of the program will also be a key part of the role.

Qualifications
  • Strong foundation in Data Science, Machine Learning, and Artificial Intelligence.
  • Expertise in programming languages, such as Python, R, or SQL, and familiarity with data visualization tools.
  • Proficiency in statistical analysis, data modeling techniques, and hands-on experience with big data frameworks like Hadoop or Spark.
  • Excellent teaching, mentorship, and communication skills in both academic and professional environments.
  • PhD in Data Science, Computer Science, or a related field is required.
  • Prior experience teaching or training in higher education or corporate environments is highly desirable.
  • Ability to conduct and supervise research projects in data science and related fields.
  • Strong commitment to student success and fostering an engaging, inclusive virtual classroom environment.