Data Scientist - II
Toronto, ON, Canada
NearSource Technologies
Managed IT Solutions Todayβs global challenges demand new thinking. Our people-centered management and technology consultancy brings innovative solutions. Our Services Supercharge your company growth with our custom approach With changing...Were hiring a Data Scientist - II to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team.
Responsibilities:
- Address complex challenges to derive insights into customer behavior and drive product adoption.
- Leverage expertise in quantitative analysis, data mining, and machine learning to develop models that shape product strategy and priorities.
- Design and implement machine learning pipelines to support data-driven decision-making.
- Partner with senior leaders across Product, Marketing, Engineering, and Design to enable impactful, data-informed strategies.
- Lead and mentor team members, advancing ML-powered features within the Digital Customer Platform.
Minimum Qualifications:
- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.
- 5+ years of hands-on experience in data science and AI/ML roles.
- proficiency in Python and R for data manipulation and modeling.
- Strong knowledge of TensorFlow, Pandas, and Spark/PySpark for ML development.
- Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Expertise in SQL for data extraction and analysis.
- Cloud Knowledge: Solid experience with AWS services for AI/ML workflows.
- Deep understanding of supervised, unsupervised, and reinforcement learning algorithms.
- Experience with MLOps tools and frameworks.
- Knowledge of other AI/ML libraries (e.g., PyTorch, Scikit-learn).
Apply Now
NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index π°
Tags: AWS Computer Science Data Mining Engineering LLMs Machine Learning MLOps Pandas Pipelines PySpark Python PyTorch R RAG Reinforcement Learning Scikit-learn Spark SQL TensorFlow
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