Data Scientist III

About the role

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: 96,900 - 136,800 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: Provide technical leadership across the overall Analytics function which may have an enterprise mandate. Role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material CUSTOMER Work closely with business owners to identify opportunities and serve as an ambassador for data science. Be familiar with the business context and data infrastructure and can translate business problems to viable data science solutions. Use a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data. 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 long term benefit to the business. SHAREHOLDER Analytical thought leadership and stay current on developments in data mining and the application of data science. Solicit and offer ideas for improving business processes through insights with the objective of improving effectiveness and efficiency. Educate the organization on approaches, such as testing hypotheses and statistical validation of result. 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 Adhere to enterprise frameworks or methodologies that relate to activities for our business area. Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities. Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations. Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist. Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues. Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements. 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. EMPLOYEE / TEAM 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. Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit. Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques. Participate in personal performance management and development activities, including cross training within own team. Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities. Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices. Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships. Contribute to a fair, positive and equitable environment that supports a diverse workforce. Act as a brand ambassador for your business area/function and the bank, both internally and/or external

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