Data Scientist

Advantages
You will have an opportunity to work with a leading employer in the local market.


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.


Qualifications
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 with at least 3 years of experience in GenAI/LLMs, solutioning and product building
-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.

Preferred Skills/Nice to have:
-Experience with sequence classification, named entity recognition, image classification, and object detection models
-Proficiency with cloud services, specifically Vertex AI and BigQuery (GCP)
-Strong problem-solving skills with an emphasis on product development.
-Excellent written and verbal communication skills.
-Experience with regular expressions is an asset.


Summary
Do you have this experience? If you answer YES, then please apply IMMEDIATELY to so we can then discuss your experience and interest in this opportunity!

Randstad Technologies Group

Canada's largest provider of IT Staffing Solutions, offering hundreds of permanent and contract opportunities across all roles, levels and platforms. Our Web-based tools help you see and apply for jobs matched automatically to your skills and preferences. When you're ready to interview we meet with you in person to help you build the technology career path you've always wanted. Visit www.randstad.ca to get started!


Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.