Data Scientist - 12 month contract
$70 per hourCorGTA
Role: Data Scientist
Rates: Up To $70.00 p/h INC.
Structure: 12 month contract
Location: North York, 1-2 days per month on-site --
• Experience: 5–8 years of applied industry experience in data science, statistical analysis, and
machine learning.
• Education: Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related
quantitative field.
• Core ML & Forecasting Mastery: Deep expertise in traditional machine learning algorithms
(regression, classification, clustering, tree-based models) and a strong specialization in
forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
• Programming Mastery: Advanced, production-level programming skills in Python (Pandas,
Scikit-Learn, Statsmodels) and highly complex SQL for large-scale data manipulation.
• GCP Infrastructure: Strong, hands-on proficiency in the Google Cloud Platform ecosystem.
Experience building, training, and deploying models using Vertex AI, BigQuery, and Google Cloud
Storage.
• Communication & Critical Thinking: Exceptional ability to distill complex data into meaningful business insights. Effective written and verbal communication skills are mandatory for cross-
functional collaboration. Preferred Qualifications (Nice to Have):
• Advanced AI / GenAI: Knowledge or hands-on experience with Deep Learning architectures and
Generative AI (e.g., LLMs, building Retrieval-Augmented Generation (RAG) pipelines).
• Retail Domain Expertise: Previous experience applying data science within the retail sector (e.g.,
supply chain forecasting, pricing optimization, customer lifetime value).
• MLOps & Orchestration: Familiarity with containerizing workloads (Docker) and using
orchestration tools (like Google Cloud Composer / Apache Airflow) to schedule and trigger
complex ML training pipelines.
• Agile Tools: Familiarity with tracking and documentation tools such as JIRA and Confluence. --
Rates: Up To $70.00 p/h INC.
Structure: 12 month contract
Location: North York, 1-2 days per month on-site --
We have a great new opportunity to support one of our clients in a contract capacity!
Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.
—
Required Qualifications/Skills:• Experience: 5–8 years of applied industry experience in data science, statistical analysis, and
machine learning.
• Education: Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related
quantitative field.
• Core ML & Forecasting Mastery: Deep expertise in traditional machine learning algorithms
(regression, classification, clustering, tree-based models) and a strong specialization in
forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
• Programming Mastery: Advanced, production-level programming skills in Python (Pandas,
Scikit-Learn, Statsmodels) and highly complex SQL for large-scale data manipulation.
• GCP Infrastructure: Strong, hands-on proficiency in the Google Cloud Platform ecosystem.
Experience building, training, and deploying models using Vertex AI, BigQuery, and Google Cloud
Storage.
• Communication & Critical Thinking: Exceptional ability to distill complex data into meaningful business insights. Effective written and verbal communication skills are mandatory for cross-
functional collaboration. Preferred Qualifications (Nice to Have):
• Advanced AI / GenAI: Knowledge or hands-on experience with Deep Learning architectures and
Generative AI (e.g., LLMs, building Retrieval-Augmented Generation (RAG) pipelines).
• Retail Domain Expertise: Previous experience applying data science within the retail sector (e.g.,
supply chain forecasting, pricing optimization, customer lifetime value).
• MLOps & Orchestration: Familiarity with containerizing workloads (Docker) and using
orchestration tools (like Google Cloud Composer / Apache Airflow) to schedule and trigger
complex ML training pipelines.
• Agile Tools: Familiarity with tracking and documentation tools such as JIRA and Confluence. --
CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.
At times, CorGTA or its client partners may utilize AI tools to assist with the hiring processes.
By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service:
For more roles like this, please go to
Vacancy posted a month ago
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