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Data Specialist - Jobs in Montréal, QC

Job LocationMontréal, QC
EducationNot Mentioned
SalaryNot Disclosed
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull Time

Job Description

DATA SPECIALISTEXPERIENCE LEVEL : MINIMUM 4 YEARSSALARY RANGE : 84 851$ - 91 988$TEAM LEAD : Ludovic Bocken PhDsMANAGER : Vish GokhaleABOUT SIASIA Innovations Inc. is a leader in digital transformation, cloud and artificial intelligence!We help medium and large organizations (Quebec, Canada and International) leverage IBMs digital technologies (AI, Cloud, Security, Automation, Blockchain, etc.) to innovate and increase their agility and resilience. SIA has offices in Montreal, Toronto, Los Angeles and Nassau.PLACE OF WORK AND SCHEDULEOur cozy open-plan office, located on the corner of the 39th floor of Montreals tallest tower, offers an incredible view of Mount Royal and the St. Lawrence River. You will benefit from a collaborative and stimulating environment, just steps away from all the cultural and social activities of downtown. We offer flexible hours (core office hours from 9:30am to 3:30pm) that allow for a good work-life balance.This is a permanent position with a 40 hour per week in-person schedule. Our head office at the prestigious 1000 de la Gauchetière West is accessible by public transportation (above the Bonaventure / Downtown RTL station and connected to the future REM Central Station) and indoor parking is also available.IF YOU WANT

  • Doing work that matters in the world, AI has the potential to impact every aspect of our lives.
  • Contribute to the organizational transformation of medium and large companies through innovative solutions based on AI, cloud and other advanced digital technologies.
  • Play a key role in the design and implementation of NLP-based systems and applications.
  • Build confidence in AI models and play a central role in the AI development pipeline.
  • Be part of an environment based on teamwork, service, accountability, diversity and integrity.
  • Participate in efforts to create and improve tools to support ML scientists, such as experimental and training frameworks for deep learning NLP tasks.
  • Continuously learn about cutting-edge technologies to help our customers address operational challenges.
DO THESE WORDS DESCRIBE YOURigour, analytical skills, creative problem solving, good judgment, easily takes initiative, well organized, integrity and sense of responsibility, self-reliant and resourceful.YOUR OPPORTUNITYJoin our team and play a critical role with our clients as they strive to reinvent themselves for the future. Join our team of consultants as they strive to accelerate the digital shift of businesses with IBMs market eminence. If youre a forward thinker and curious intellectual, we invite you to apply for your next exciting professional challenge!The transformation to the virtual enterprise requires a smarter workforce. We are looking for a Data Specialist.As a member of the LAB team, and under the supervision of the Director, your responsibilities will be carried out on multiple, concurrent projects, involving several activities to expand and improve our clients capabilities.Your contributions and responsibilities could include:
  • Collaborate strategically on our clients business issues, bridging the gap between the latest technological advances and practical application.
  • Assemble large and complex data sets that meet our clients functional and non-functional business requirements.
  • Identify, design and implement internal process improvements: automate manual processes, optimize data delivery, redesign infrastructure for greater scalability, etc.
  • Create analytical tools that leverage the data pipeline to provide actionable insights into customer fleet performance, transportation-related KPIs, operational efficiency, and other key performance metrics.
  • Discover information from data collection.
  • Prepare data for Machine Learning (ML) and Natural Language Processing (NLP) algorithms.
  • Organize and analyze data, lay the foundation for information infrastructure, and create and train models with meaningful results.
  • Convert and homogenize unstructured and semi-structured data into structured data.
  • Identify opportunities that offer the best insights to data analysis to identify trends and patterns.
  • Create customized pipelines and machine learning models to understand customer needs and make better business decisions.
  • Work with stakeholders including management, software and design teams to resolve technical data issues and meet their data infrastructure needs.
As a member of our extended LAB team, you will play a key role in helping our clients deliver modern artificial intelligence solutions that will enable the digital enterprise to thrive.DESIRED SKILLS
  • Highly social, excellent communicator (oral and written in French, bilingualism is essential).
  • Able to demonstrate a high degree of empathy, integrity and personal credibility.
  • Can work both collaboratively and independently in a position with minimal supervision.
  • Integrity, anticipation and sense of urgency, persistence, resourcefulness and accountability.
  • High level of curiosity, ambition, autonomy and collaboration.
  • Ability to interact with professionals from different levels of the hierarchy.
  • Good tolerance for unpredictable situations and tight deadlines and good management of priorities.
QUALIFICATIONS REQUIRED
  • Bachelors degree or higher, in applied mathematics, computer science, engineering or related field.
Combined with:
  • Minimum 4 years of experience in data and analytics as a Data Analyst, Data Scientist or Data Engineer.
Or
  • Minimum 4 years of experience as an IT Analyst or Business Analyst in a data science team.
  • Excellent understanding of data engineering, data mining and statistical modeling.
  • A passion for simplifying and automating work, making things better, continuous learning, open-ended problem solving, improving efficiency and helping others.
  • Strong communication skills and ability to work cross-functionally to formulate, measure and solve problems.
  • Experience in data engineering: you know SQL and ETL pipelines.
  • Familiarity with the fields of knowledge engineering, machine learning and natural language processing and some of the popular libraries.
  • Strong knowledge of relational databases (MySQL, SQL Server, etc.) and NoSQL stores (Elasticsearch, Redis, MongoDB, etc.).
  • First principles approach to problem solving and desire to develop innovative solutions to business problems.
DESIRED SKILLS
  • Knowledge of public cloud (AWS/GCP/Azure) and private cloud (IBM OpenShift).
  • Experience with streaming or messaging technologies (Kafka, RabbitMQ, etc.).
  • Experience building scalable and highly available microservices.
  • Knowledge of cloud native technologies (e.g. Docker, Kubernetes, Istio, Argo).
  • Knowledge of application performance optimization.
  • Experience with data science practices.
  • Experience building or running machine learning pipelines.
  • Knowledge of vulnerability mitigation, identity management, public and private cloud security risks, and security best practices.
WHATS IN IT FOR YOUAt SIA Innovations, our employees are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:Our Culture: Results-oriented, we promote growth through innovation and fair sharing with our employees. We believe that continuous learning is essential to the success and empowerment of our team members.Learning and Development: Exposure to a wide range of cutting-edge technologies, the ability to work on multiple projects and/or with multiple teams, opportunities for professional growth and development through IBM training and certifications, various training programs, conferences, networking events, internal speaker series, etc.Benefits: Group insurance (health, dental, drug, vision, telemedicine) and a voluntary group RRSP with Canada Life, Deferred Profit Sharing Plan (DPSP), networking and volunteer incentives, wellness programs and EAPs.IS IT A GOOD FITIf you are passionate about your career, highly motivated and enjoy working in a dynamic, friendly and challenging environment, we want to MEET YOU!Apply now, we look forward to hearing from you!Quick Apply
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