Data Scientist III
TD
PythonTableau
Salary
💰 $76,128 - $124,800 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonTableau
About the role
- Understand business needs and convert business requirements to technical solutions
- Collect necessary data and perform data quality checks, preprocessing, sanitizing, profiling and visualization
- Use statistical inference and a wide range of data science techniques to detect potential fair lending risk
- Develop and manage end-to-end statistical analyses on TD products to ensure fair banking compliance
- Develop documentation pipelines and analytical deliverables (reports, decks) for presentations
- Perform quantitative analysis and develop specialized analytical tools for projects or ongoing use
- Compile and generate ad-hoc analytical reports and presentations
- Collaborate with multiple cross-functional teams and stakeholders to uncover actionable insights and build analytics solutions
- Communicate complex results to non-technical audiences and provide advisory support to line of business model owners
- Work autonomously as lead, guide others within area of expertise, and independently handle multiple projects
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- Master or doctorate degree in a quantitative field preferred (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering)
- 3+ years of relevant experience
- Strong statistics knowledge
- Demonstrated experience in development of predictive models using Python, SAS or R
- Proficiency in Python, SAS or R (required)
- Experience working with AI/ML and Gen AI based models
- Experience working with databases/datasets and data visualization tools (Tableau/Power BI) is a plus
- Strong communications skills, both written and verbal
- Strong presentation skills; ability to communicate technical matters in a non-technical way
- Entrepreneurial spirit, strong attention to detail, ability to lead projects
- Ability to work autonomously and guide others; manage multiple projects and changing priorities
- Ability to collaborate with cross-functional teams (data engineers, software engineers, business analysts)
