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Data Scientist

3 months ago

Toronto, Ontario, Canada Colliers Full time
Make your next move an expert one.

At Colliers it's not our success that sets us apart, it's how we achieve it. Our people are passionate, take ownership and always do what's right for our clients, people and communities.

Why Colliers?

Our enterprising environment needs your expertise to facilitate Colliers' continued growth as an industry leader.

Our nimble, decentralized culture can provide you with a wealth of opportunities to learn about our business and quickly gain experience to accelerate your career.

Who you are


What you bring- Bachelor's or higher degree in a quantitative field, such as Computer Science, Statistics, Mathematics, Engineering, Sciences, or Data Science or Certification in Data Science- 3+ years of experience working as a data scientist or in a related field.- Strong analytical and problem-solving skills.- Strong programming skills in Python, R, or another statistical programming language.- Strong experience with SQL and database technologies.- Proficient in the data exploration process, with a keen eye for identifying patterns and anomalies.- Demonstrated expertise in data cleansing and preprocessing to ensure quality and consistency for analysis.- Experience with machine learning techniques, including time series analysis- Strong communication (verbal and written) and collaboration skills.


Bonus skills and experience- Experience working with cloud-based data platforms, such as AWS or Azure.- Experience with shaping organization governances and processes in building and using ML products- Experience with Azure ML.- Experience with deep learning techniques, such as neural networks and convolutional neural networks.- Experience with NLP/LLM (i.e., Langchain) and Generative AI- Experience with data visualization tools, such as Tableau, PowerBI, or matplotlib.- Experience with experimental design and statistical hypothesis testing.

- Knowledge of infrastructure or real estate


What success looks like- Work with business stakeholders to identify and understand business problems and develop analytical solutions to address them.- Build and maintain statistical and machine learning products, including NLP, to solve business problems.- Perform data analysis and visualization to communicate insights to business stakeholders.- Collaborate with cross-functional teams to develop data-driven solutions.- Identify and evaluate new data sources to improve modeling and analysis.- Develop and implement processes for data preparation, model development, and model deployment.- Stay up-to-date with the latest trends and techniques in data science and machine learning.- Communicate complex analytical concepts and results to non-technical stakeholders.- Maintain documentation of analytical work, including code, models, and analysis results.

LI-CB1

LI-Hybrid

Make your next move an expert one and
_join us _as we lead the industry into the future.

Direct applicants only please, no agencies.