Data Scientist for Data products
Our Client's Company is guiding a connected world on the go by automating, optimizing and revolutionizing the way people, vehicles and things move through the world. With more than 3,500 dedicated employees in 15 countries, they deliver leading mobile technology platforms and solutions.
As a SaaS leader, they hire top talent and empower them to do their best work.
What you'll be doing"
They have immediate need for a Data Scientist to join their Data Products team. The Data Scientist will be responsible for the in-house research and development of strategic data products.
It will use state-of-the-art machine learning algorithms to analyze our massive datasets and come up with innovative solutions to make our products smarter. A strong technical background is expected, and successful applicants will also exhibit leadership and organizational skills.
Collect, analyze, cleanse, and verify data sets, enriching them with third party sources when needed.
Gain deep knowledge about the connected vehicles domain to be able to design discriminative features from the data.
Apply state-of-the-art machine learning algorithms to company data and customize them to reach production-ready performance objectives.
Develop production-ready code to release machine learning models validated by research results in production environments.
Support other teams on selected projects with training or ad-hoc analysis.
Keep up-to-date with latest technology trends and contribute to key innovation initiatives, publish and patent innovative technology.
What we're looking for...
You'll need to have:
Degree in Computer Science or another technical subject
Excellent technical skills with 2+ years programming experience in C++, Python, or any other common language
Proven experience in Machine Learning model design and validation on real-world data
Excellent problem-solving and algorithmic design skills
Familiar with Unix/Linux environments
Familiar with scientific research, able to read a scientific paper and extract the main ideas
Results oriented with a demonstrated track record of successful delivery
Fluent in English.
Even better if you have:
Knowledge of Deep Learning frameworks such as Keras, TensorFlow, Torch or Caffe
Familiar with agile software development methodologies and tools
Experience with Big Data Analytics tools (Hadoop, Spark or similar).
Experience applying statistical analysis to validate business hypotheses
Morgan McKinley is acting as an Employment Agency in relation to this vacancy.
Please note that any references to salary or pay rates in this advertisement and in the salary refinement section are indicative only and should only be used as a guide.
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