Data Scientist II

at  TD Bank

JOB DESCRIPTION

We will be offering a variety of roles from intermediate to senior level. The individuals are principally responsible for supporting specifically assigned data & analytics projects and often provide on-going analytical sights for specific business domains.

The roles may consist of (but not limited to) one or more of the following key areas:

• Use a wide range of programing languages (e.g. Python) and data science techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data or build analytics solutions to answer impactful business questions and guide business decisions.
• Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains on-going benefit to the business.
• Identifies new analytical trends / data needs to improve repeatable analytic solutions.
• Interdisciplinary field focused on processes and systems to extract knowledge or insights from data of various forms either structured or unstructured techniques.
• Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics that may be applied across a variety of products, services, business lines, or segments.
• Educate the organization on data science approaches, such as experimental test & learn, testing hypotheses and statistical validation of result.
• Enhance business strategies by leveraging analytics and insights to foster strategic thinking, guiding the organization towards informed decisions and sustainable growth.
• Help the organization understand the principles and the math behind the scientist process to drive organizational alignment.
• Translate up to date information into continuous improvement activities that enhance Performance
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.

WHO WE ARE:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

WE ARE HIRING FOR MULTIPLE ROLES, LOOKING FOR BELOW SKILLSET(S):

• Experience in Python, Cloud, SQL, Tableau
• Experience in Anti-money Laundering functions is an asset.
• Data engineering and reporting background is preferred.
• Experience in visualization, particularly around Business Intelligence (Reporting, analytics and delivery).
• Experience in forecasting – understanding of different forecasting techniques especially in linear regressions & time-series forecasting.
• Experience/knowledge in setting test & control group & hypothesis testing.
• Strong analytics & problem-solving skills
• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) Graduate’s degree preferred with either progressive project work experience.
  Level Min Years’ Experience
  Intermediate 3+ years

Senior 5+ years

• Higher degree education and research tenure can be counted.

The roles may consist of (but not limited to) one or more of the following key areas:

• Use a wide range of programing languages (e.g. Python) and data science techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data or build analytics solutions to answer impactful business questions and guide business decisions.
• Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains on-going benefit to the business.
• Identifies new analytical trends / data needs to improve repeatable analytic solutions.
• Interdisciplinary field focused on processes and systems to extract knowledge or insights from data of various forms either structured or unstructured techniques.
• Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics that may be applied across a variety of products, services, business lines, or segments.
• Educate the organization on data science approaches, such as experimental test & learn, testing hypotheses and statistical validation of result.
• Enhance business strategies by leveraging analytics and insights to foster strategic thinking, guiding the organization towards informed decisions and sustainable growth.
• Help the organization understand the principles and the math behind the scientist process to drive organizational alignment.
• Translate up to date information into continuous improvement activities that enhance Performance
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest