Principal Data Scientist leading AI innovation for network management at Extreme. Driving long - term data science and ML strategy in a greenfield opportunity.
About the role
- Data Scientist II designing and deploying analytics solutions across cloud platforms for TD. Collaborating with business stakeholders to transform large-scale data into actionable insights.
Responsibilities
- Design, build, and deploy advanced analytics solutions across cloud-based platforms
- Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI
- Build curated datasets, automated pipelines, and analytics layers
- Analyze large, complex datasets to identify trends and optimization opportunities
- Partner cross-functionally with business stakeholders and data engineering teams
- Communicate insights through dashboards and executive-ready storytelling
- Support a strong risk and control culture through analytical monitoring
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science)
- 3+ years of relevant experience; higher degree education and research tenure can be counted
- Strong organizational skills with the ability to work in a fast-paced environment
- Ability to effectively work in teams across the bank with multiple stakeholders
- Strong risk acumen – challenges the status quo and proactively manages risks
- Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark) and SQL
- Hands-on experience with machine learning techniques
- Experience building, training, and deploying machine learning models
- Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP)
Benefits
- base salary
- variable compensation
- health and well-being benefits
- savings and retirement programs
- paid time off
- banking benefits and discounts
- career development
- reward and recognition programs
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