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Data Scientist Consultant

Montreal, QC
  • Number of positions available : 1

  • To be discussed
  • Full time
  • Starting date : 1 position to fill as soon as possible

We are:

The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.


The Work:

  • Analyze large and complex datasets to extract actionable insights and identify trends.
  • Develop predictive models and machine learning algorithms to solve business problems and optimize processes.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design experiments and interpret results to test hypotheses and validate models.
  • Create data visualizations and dashboards to communicate findings and insights to stakeholders.
  • Ensure data quality, integrity, and accessibility through collaboration with data engineers.
  • Contribute to the continuous improvement of data science infrastructure and processes.

Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

undetermined

Spoken languages

undetermined