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Kreativstorm

Junior Data Scientist (Remote)

Early Applicant
  • a month ago
  • Be among the first 50 applicants

Job Description

Embark on a career in data science with Kreativstorm, a leading management-consulting firm based in Berlin, Germany. Work remotely with our multinational team and turn data into actionable insights!

Are you passionate about data and eager to uncover insights that drive business decisions Kreativstorm is looking for a Junior Data Scientist to join our team. You will analyze and interpret complex datasets, develop predictive models, and collaborate with the data team to extract insights. This role offers an excellent opportunity to develop your analytical skills and make a significant impact.

Job Overview and Details:

  • Location: Fully Remote
  • Position: Full-Time

Requirements

Ideal Candidates:

  • Pursuing or having a degree in Data Science, Statistics, Computer Science, or a related field.
  • Junior data scientists with a strong interest in data analysis and machine learning.
  • Proficiency in data science tools and programming languages (e.g., Python, R).
  • Strong analytical and problem-solving skills.

Your Role:

  • Analyze and interpret complex datasets.
  • Develop predictive models and machine learning algorithms.
  • Collaborate with the data team to extract insights and inform decisions.
  • Document and present data science findings.
  • Support in implementing data-driven solutions.

Benefits

Why Join Us Kreativstorm offers a dynamic and innovative environment. You will work with a team of data experts, gaining hands-on experience in data science and machine learning. We value creativity, collaboration, and data-driven decision-making. Join us to enhance your data science skills and contribute to the success of our clients.

Apply now and pave the way for your future in data science!

More Info

Industry:Other

Function:Management Consulting

Job Type:Permanent Job

Skills Required

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Date Posted: 20/10/2024

Job ID: 97103827

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Last Updated: 20-11-2024 08:04:43 PM
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