Data Scientist driving analytics and experiments for Jerry.ai’s AI - powered advisor for cars, homes, and other physical assets. Embedded across growth, product, AI, or strategic partnerships.
About the role
- Data Scientist II building Python, SQL, and machine-learning solutions for TD’s Canadian personal lending business. Delivering analytics and insights that improve banking decisions.
Responsibilities
- Develop and own data-driven solutions in the Canadian Personal Line of Credit domain
- Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions
- Use Python, Pyspark, and SQL to extract and prepare data
- Apply statistics and advanced analytics to inform recommendations and insights from large datasets
- Visualize data insights to clearly convey results to decision-makers and stakeholders
- Collaborate with AIML scientists, data and business analysts, software engineers, data engineers, and application developers
- Develop scalable and sustainable machine learning and data science solutions
- Communicate the value, principles, and mathematics behind hypothesis testing and statistical validation
- Provide thought leadership and industry knowledge
- Participate in knowledge transfer within the team and business unit
- Lead, coach, mentor, empower, and educate peers
Requirements
- 3+ years of relevant experience in a data science role
- Academic background in Math, Statistics, Computer Science, or a related field
- Knowledge and application of Python / Pyspark, SQL, Tableau, PowerBI, and Databricks on large datasets
- Track record of delivering business impact and results
- Strong problem-solving skills
- Excellent communication skills and experience presenting insights to executive leaders and business partners
- Ability to work as part of a team with targeted deliverables
- Knowledge of advanced statistical inference techniques is considered a strong asset
- Knowledge of consumer lending – Personal Line of Credit/Loans is preferred
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
- Regular development conversations
- Training programs
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
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