Data & Applied Scientist

Job title: Data & Applied Scientist

Job description: We’re looking for talented Applied and Data Scientists that have applied experience in the fields of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision and Sequence Prediction to join our team.

We are a small team with big data: we are processing the worldwide data and observations on the Earth climate, and build machine learning models to generate insights and power delightful experiences for Microsoft customers.

Our data scientists work closely everyday with product managers, researchers and software engineers to solve complex problems and create next generation experiences for our customers. We partner and collaborate with universities and research institutions to bring best minds together. We leverage state-of-the art existing technology and keep abreast of the cutting edge of the worldwide research.

As a Data Scientist on our team, you are:

• passionate about working with extremely large and complex unstructured and structured data sets,
• applying your skills in modeling spatial-temporal effects, atmospheric physics, and deep neural networks,
• developing end-to-end deep learning solutions using PyTorch, LightGBM and other machine learning tools, from the feature development to defining network architecture, to setting up training regime (including distributed training), to packaging the model for real-time inference,
• working closely with our team members, conducting design, algorithm and code reviews,
• able to self-direct and succeed with minimal guidance.

Basic qualifications

• Technical bachelor’s degree. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry).
• Programming experience in one or more of the following: Python, C, C++, Java, Scala.
• 2+ years of work experience in Artificial Intelligence / Machine Learning algorithms.
• 2+ years of work experience with statistical software (e.g., R, Octave, Julia, MATLAB) and database languages (e.g., SQL).

Desired qualifications

• Master’s or Ph.D degree in a related discipline (computer science, mathematics, physics etc.)
• 2+ years of work experience or relevant coursework with machine learning related open source libraries including, but not limited to: Pandas, Spark, SciKit-Learn, TensorFlow, PyTorch, Theano, etc.
• Experience in training machine learning models in a cloud computing environment such as: AWS, Google Cloud Platform, Microsoft Azure, etc.
• Experience in building deep neural network models for computer vision, sequence modeling or related areas, powered by GPU, in a distributed training environment.
• Experience in working with climate data, weather observations or numerical weather prediction models.

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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Company: Microsoft

Expected salary:

Location: Vancouver, BC

Job date: Thu, 28 Oct 2021 07:57:38 GMT

Job Source: Careerjet.ca

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