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Data Science Specialist
2 months ago
We are seeking a highly skilled Data Science Specialist to join our team at TD. As a Data Science Specialist, you will be responsible for providing technical expertise across a broad range of data analysis functions, including data modeling, visualization, data profiling, data origin and lineage, report design, and other specialized data management functions.
Key Responsibilities- Apply machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
- Support business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
- Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data.
- Build production-scale solutions and work with deployment teams to integrate in business operations.
- Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences.
- Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or related, with the intent of going back to school at the start of your work term.
- Strong statistical and analytical skills and interest are necessary.
- Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
- Experience in Python, SQL and/or other data-related programming languages.
- Experience with visualizations and building dashboards in Tableau is considered an asset.
- Knowledge/experience with machine learning is considered an asset.
- Experience with Data Management, Analytics, and Project Management is a plus.
- A 4-month work term with the opportunity to gain valuable experience in data science and analytics.
- A collaborative and dynamic work environment with a team of experienced professionals.
- The opportunity to work on a variety of projects and contribute to the development of innovative solutions.
- A competitive compensation package and benefits.