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Data Scientist
4 weeks ago
Job Summary:
The Analytics, Insights & Artificial Intelligence (AI2) Associate Program is a 1-year enhanced development opportunity in analytics and data. As a Data Science Associate, you will work with structured and unstructured data, apply advanced machine learning methods, and collaborate with business partners to identify opportunities for process optimization and informed decision-making.
Key Responsibilities:
- Conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
- Collaborate with business partners to build innovative solutions and optimize processes.
- Work with structured and unstructured data, preparing 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.
Requirements:
- Must be graduated between May 2023 and May 2025 with an Undergraduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
- Strong statistical and analytical skills as well as a passion for analytics are necessary.
- Experience with analyzing large data sets, drawing insights, and inferences, and communicating outputs.
- Experienced in one or more of: Big Data, Machine Learning, Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
- Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++.
- Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
- Must have strong leadership qualities including demonstrating initiative, establishing priorities, and using strong communication, analytical, and problem-solving skills to add value to each initiative, project, or team assigned to.
- Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
- Remain current with emerging trends and technologies in Data Science.
About TD:
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve.
What We Offer:
- A 1-year enhanced development opportunity in analytics and data.
- Collaborative and dynamic work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
How to Apply:
Applications must include a transcript, cover letter (one letter-sized page or less), and a resume (maximum of 2 pages). We welcome all applications; however, we will only contact qualified candidates chosen for an interview.
TD is an equal opportunities employer.
