Location: Mississauga, Ontario, Canada
Date published: 19-Jul-2024
Job ID: 130493
Description and Requirements
Work Location: Hybrid (2 days in the office)
Position Type: Full-time, 6 months contract (high potential for extension)
Location: Mississauga, ON
Compensation Range: $55 - $80/hr.
Responsibilities
- Collect, clean, and transform data from diverse sources to be used for training or evaluation datasets.
- Develop, validate, and implement predictive models and machine learning algorithms.
- Familiarize and utilize end-to-end ML product to develop data science models.
- Perform exploratory data analysis to understand the data and develop hypotheses.
- Triage and diagnose poor performing models.
- Propose and implement solutions to meet our model performance metrics.
- Propose evidence-based strategies to improve existing development and business challenges.
- Present findings to both technical and non-technical stakeholders.
Minimum Requirements
- Master’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 4-6 years of experience in data science or a related field.
- Experience with Python and its primary data science libraries, alongside essential SQL knowledge for database management.
- Proficiency in building and fine-tuning machine learning models.
- Robust understanding of various machine learning algorithms and their mathematical foundations.
- Deep understanding of model confidence measurements and the ability to select appropriate models for specific tasks, including where to utilize one model over the other.
- Having a deep understanding and knowledge of state-of-the-art transformer models for different tasks.
- Strong skills in data preprocessing, data exploration, and feature engineering.
All interested applicants who meet the qualifications listed above are invited to submit a cover letter and resume by clicking "Apply Now".
The indicated pay range for this position is a good-faith estimate based on the qualifications necessary for the position, including experience, training, and other considerations permitted by law. Additionally, it is emphasized that the pay band mentioned herein is the one established by the client company. Factors that may be used when making an offer may include a candidate’s skills, experience and geographic location, the expected quality and quantity of work. Most candidates will start at the bottom half of the pay range, with the upper end reserved for candidates with extensive experience and skills and who live in geographic markets commanding a higher starting pay. An employee’s pay history will not be a contributing factor where prohibited by local law.
This information is subject to change and serves as a general guideline for compensation discussions. Actual offers may vary based on specific circumstances and company policies.