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NSW Nokia Software
1900000DML Requisition #
Thanks for your interest in the Services - Data Scientist, NSW position. Unfortunately this position has been closed but you can search our 2,553 open jobs by clicking here.
Required Minimum Qualifications: (Education, Technical Skills/Knowledge) 
  • Bachelor´s degree or equivalent experience required, candidates with Master’s degree in Computer Science, Electrical Engineering, Statistics, Machine Learning, Data Science or a closely related field will be more relevant
  • At least 10 years of work experience data analytics-related work
  • At least 3 years of experience in data science, machine learning and predictive modeling

Desired Qualifications: (Education, Technical Skills/Knowledge)
  • Candidate should have considerable experience and proficiency in at least Python or R
  • Good understanding and hands-on experience with Big Data technologies, particularly Hadoop ecosystem
  • Experience with Jupyter, Scikit-learn, SQL, Spark, Tensor Flow, Tableau
  • Proven experience with taking a machine learning model from prototype to production
  • Unix shell scripting is a plus
  • Self-motivated and able to seek out needed information while learning quickly
  • Courage to challenge the validity of current procedures and seeking to make improvements for efficiency and simplicity
  • Ability to effectively communicate findings and insights with stakeholders.
  • Fluency is Spanish is a plus

Nokia is an equal opportunity employer that is committed to diversity and inclusion. At Nokia, employment decisions are made regardless of 
sex, gender identity or expression, sexual orientation, race, ethnic origin, color, creed, religion, national origin, citizenship, age, marital status, physical or mental disability, genetic information or ancestry, protected Veteran or military status, or other characteristics protected by law.

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Nokia is an equal opportunity employer that is committed to diversity and inclusion. At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.