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Data Scientist

2 months ago

Toronto, Ontario, Canada SiteGenie AI Engineering Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at SiteGenie AI Engineering. As a Data Scientist, you will play a critical role in driving business growth through data-driven insights and predictive modeling.

Key Responsibilities
  • Data Analysis and Modeling
    • Design and develop predictive models to forecast business outcomes and identify areas for improvement.
    • Conduct in-depth analysis of complex data sets to identify trends and patterns.
  • Business Intelligence and Strategy
    • Develop and implement data-driven business strategies to drive growth and revenue.
    • Collaborate with cross-functional teams to identify business needs and develop solutions.
  • Research and Development
    • Conduct research on emerging trends and technologies in data science and machine learning.
    • Develop and implement new data science methodologies and tools to improve business outcomes.
  • Communication and Collaboration
    • Communicate complex data insights and recommendations to non-technical stakeholders.
    • Collaborate with data engineers and developers to integrate data science solutions into business applications.
Requirements
  • Education
    • Master's degree in Computer Science, Data Science, or related field.
  • Experience
    • 1 to less than 7 months of experience in data science or a related field.
  • Skills
    • Strong programming skills in Python, SQL, and C++.
    • Experience with data visualization tools such as Tableau or Power BI.
    • Strong analytical and problem-solving skills.
    • Excellent communication and collaboration skills.
Preferred Qualifications
  • Computer and Technology Knowledge
    • Experience with Git and version control.
    • Knowledge of machine learning algorithms and techniques.
  • Personal Suitability
    • Accurate and detail-oriented.
    • Efficient interpersonal skills.
    • Excellent written communication skills.
    • Initiative and proactive approach.
    • Judgement and decision-making skills.
    • Organized and able to prioritize tasks.
    • Team player with a collaborative mindset.
    • Flexibility and adaptability.
    • Accountability and dedication.
    • Innovation and creativity.
    • Analytical and problem-solving skills.
    • Quick learner and ability to adapt to new technologies.