Staff Data Scientist — AI/ML Lead & Production Deployment

UKG

Montreal (administrative region)

On-site

CAD 124,200 - 167,650

Full time

14 days+
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Benefits offered by this job

Flexible work environment
Health benefits
Performance-based bonuses

Job summary

A technology company in Montreal is seeking a Data Scientist with expertise in AI and machine learning. You will lead data-driven projects, analyze vast datasets to drive business value, and establish best practices for the data science team. Candidates should have a PhD or master's in a quantitative field and significant programming skills in Python, with experience in cloud-based AI solutions. This role offers competitive compensation and a collaborative work culture.

Qualifications

  • PhD plus 3 years, or master's plus 5 years of experience in a quantitative field.
  • Deep expertise in AI and machine learning subfields including NLP and regression.
  • Experience with AI solutions in production environments using cloud frameworks.

Responsibilities

  • Analyze data to identify business opportunities and define computational tasks.
  • Lead AI projects and ensure effective technical communication with stakeholders.
  • Establish team standards for code quality and data governance.

Skills

Machine learning expertise
Data visualization
Python programming
Big data tools
Communication skills
Decision-making skills
Continuous learning

Education

PhD in a quantitative field
Master's degree in a quantitative field

Tools

Pandas
NumPy
TensorFlow
PyTorch
Vertex AI
BigQuery

Job description

A technology company in Montreal is seeking a Data Scientist with expertise in AI and machine learning. You will lead data-driven projects, analyze vast datasets to drive business value, and establish best practices for the data science team. Candidates should have a PhD or master's in a quantitative field and significant programming skills in Python, with experience in cloud-based AI solutions. This role offers competitive compensation and a collaborative work culture.
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