Student Worker Strategic Data Office

at  UniversalRobots

Odense, Region Syddanmark, Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate03 Dec, 2024Not Specified05 Sep, 2024N/AGood communication skillsNoNo
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Description:

#WEAREUR AND WE CONTINUOUSLY REDEFINE AUTOMATION

At Universal Robots, part of Teradyne Inc., our mission is simple: Automation for Anyone. Anywhere. Our vision is to create a world where people work with robots, not like robots. With 75,000+ cobots already installed worldwide, we’re making a significant impact. Working towards our vision provides endless opportunities to learn, grow, innovate, and solve problems together as we bring our technology to companies of all sizes globally.
We are seeking a talented and versatile student worker to join our team as a Data Science, Data Analytics, and Business Development Specialist. This role is ideal for a student with a blend of technical expertise, analytical skills, and a keen interest in business development.
Due to summer vacations, we will start reviewing candidates in August.

Responsibilities:

  • Perform statistical analysis and create visualizations using Python, R, SQL, Power BI, and Tableau.
  • Develop machine learning models and apply statistical methods to solve business problems.
  • Clean, process, and analyze large datasets; manage data warehousing and ETL processes.
  • Write efficient, scalable code in Python, R, SQL, and possibly Java or Scala.
  • Build and deploy models using TensorFlow, Keras, and Scikit-learn.
  • Utilize business intelligence tools (Tableau, Power BI) and manage code with Git.
  • Understand business operations, translate data insights into strategies, and develop business initiatives.
  • Conduct market research and analyze competitive landscapes.
  • Present data insights to non-technical stakeholders and create business reports.
  • Plan, execute, and monitor projects; build and maintain relationships with stakeholders.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Computer Science, Business Administration, Administration, Business, Statistics

Proficient

1

Odense, Denmark