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Job Details

Data Scientist - Machine Learning Specialist

Job Number:
J0719-0049 - Full Time
Location:
Montreal, Quebec
Salary:
Open
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Data Scientist - Machine Learning Specialist

Our client is an international telecommunications organization, dedicated to enabling their customers to thrive and prosper.

They are looking for Data Scientists – Machine Learning Specialists to join their dedicated AI lab based in Montreal.

Title: Data Scientist – Machine Learning Specialist
Location: Montreal, QC
Salary: Extremely competitive + benefits package + pension plan

TO APPLY: Please send your resume to Emily at emily.woods@groomassocies.com

As a Machine Learning Specialist - Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools. You will use your knowledge and/or experience in Data Science methodologies apply them to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses.

Responsibilities:
• Conduct functional and technical analysis within the organization and strategic customers to understand MI-driven business needs and opportunities
• Contribute to rapid and iterative development of validated minimum viable solution addressing these needs. This includes working with petabytes of 4G/5G-networks, IoT and exogenous data, and proposing/selecting/testing predictive models, recommendation engines, anomaly detection systems, statistical model, deep learning, reinforcement learning and other machine learning systems
• Conduct studies and find creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones, as needed.
• Collaborate with product development teams and partners in the organization to industrialize machine learning models and solutions as part of the offerings including providing source code, workflows and documents
• Work with new technologies and champion them in MI Communities within the organization.
• Assist MI Competence build-up in the organization.
• Help to develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiatives
• Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs

Requirements:

• MS, or PhD in Electrical Engineer, Computer Science, Artificial Intelligence, Machine Learning, Physics, or related field
• Applied experience: 2+ years of Machine Learning experience in data science.
• Proven experience writing production-grade software
• Extensive experience in model development and life-cycle-management in one or more industry/application domain
• Strong Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++
• Proven skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.
• Strong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow and Spark, etc.
• Demonstrated ability to implement new algorithms and methodologies from leading open source initiatives and research papers addressing their functionalities, scalability and overall industrialization viability
• Experience with Big Data technologies such as Hadoop, Cassandra etc
• Strong knowledge in Statistics, e.g., descriptive analysis and supervised and unsupervised analysis


Votre partenaire en recrutement – Your recruitment partner www.groomassocies.com
For technical assistance related to the application process, please contact us at webhelp.njoyn@cgi.com or call 1-877-427-7717 Monday to Friday 8:00am-8:00pm EST.