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Nokia Data Scientist 
Hungary 
675462855

17.09.2024


HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN


Drive and execute AI/ML projects within Supply Chain.

Create, follow up and manage AI/ML roadmap.

Developing prediction systems and machine learning algorithms

Presenting results in a clear manner

KEY SKILLS AND EXPERIENCE
  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
  • Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
  • Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude
  • Analytical mind and great business sense
  • Degree in Computer Science, Engineering or relevant field is preferred
  • Proven Experience as Data Analyst or Data Scientist

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

Join us and be part of a company where you will feel included and empowered to succeed.
Job Info
  • Job CategoryAnalytics
  • Posting Date09/12/2024, 10:54 AM
  • LocationsBokay Janos utca 36-42, Budapest, 1083, HU
  • Degree LevelBachelor's Degree
  • Job ScheduleFull time
  • Role TypeIndividual contributor
  • Job Identification

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