Data Analyst - Ottawa, Canada - R.W. Tomlinson Limited

R.W. Tomlinson Limited
R.W. Tomlinson Limited
Verified Company
Ottawa, Canada

2 weeks ago

Sophia Lee

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Sophia Lee

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Description

Data Analyst - AI Specialist:


RESPONSIBILITIES:


  • Gather requirements from internal stakeholders to understand business needs
  • Collect, clean, and transform large datasets to be used for machine learning models
  • Develop and maintain data models that can be used by AI systems
  • Develop machine learning models using various programming languages and tools
  • Train models using relevant data sets and finetune them for accuracy and performance
  • Work closely with crossfunctional teams to integrate AI solutions into the company's systems
  • Create reports and visualizations to communicate findings to project stakeholders
  • Stay current with AI trends and advancements in the construction industry to help drive innovation within R.W. Tomlinson.

REQUIREMENTS:


  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
  • At least 2 years of experience in data analysis, preferably in the field of AI
  • Experience with machine learning algorithms, deep learning frameworks, and natural language processing (NLP) techniques
  • Strong programming skills in Python, SQL, or other relevant data analysis tools
  • Experience with data visualization tools such as Tableau, Power BI, or
  • Familiarity with cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Knowledge of security best practices for AI, such as data anonymization, secure model deployment, and secure data handling.
  • Excellent problemsolving and analytical skills
  • Ability to work independently and as part of a team
  • Strong communication and collaboration skills

TOMLINSON OFFERS:


  • Competitive wages
  • Bonus programs
  • Employer paid health and dental benefits
  • Extensive training programs and tuition reimbursement
  • Retirement benefits program
  • Familyoriented team environment
  • Employee discounts and other rewards programs

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