Data Scientist, NSW
Required Qualifications: (Education, Technical Skills/Knowledge)
- At least 3 years of experience in a relevant role
Education Required:
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An advanced degree in statistics, physics, operations research, computer science or applied mathematics at Master's degree but Phd is a plus.
General
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Extensive experience solving analytical problems using quantitative approaches
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Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
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Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
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A strong passion for empirical research and for answering hard questions with data
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Business skills to build the algorithms necessary to find the right answers
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A flair for presenting complex results in a visual and intuitive manner
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Ability to abstract models across very different industries and formulate repeatable models
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Ability to work in a fast-paced multidisciplinary environment
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Ability to work both autonomously and in a team
Technical
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Strong skills in Python, and/or R and/or Scala
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Proficiency in Java or C# (or Mono, or C++), SQL
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At least 2 years of experience building and applying predictive modeling in real-world use cases
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At least 2 years of experience in solving large scale mathematical programming / operations research problems
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Strong Statistical, mathematical, predictive modeling, machine learning skills
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Exposure to big data systems and methodologies
Desired Qualifications: (Education, Technical Skills/Knowledge)
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Domain experience in building models for transportation, supply chain, scheduling, vehicle routing is a plus
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Exposure to deeplearning frameworks a plus
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Experience in large scale optimization and meta heuristics a plus
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Experience in applications of computer vision a plus
Nokia is an equal opportunity employer that is commited 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.