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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:

Data Scientist II, Data Science, Customer Assistance

About this Role

Within TECE (Technology Enablement and Customer Experience) the CA (Customer Assistance) AI2 team supports the day-to-day activities of the CA business – which means you will be working closely with CA business leaders, Risk CA, and other business partners. You'll work in collaboration with your people leader and the partners to address their analytics needs, this means you will be expected to provide end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions to the business. You will be part of a team that will be transforming how we provide key insights and opportunities for our business partners to better serve our customers.

Job Description

• Develop a deep understanding of 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, Pyspark, SQL, SAS) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
• Translate business challenges into data-driven problems and design appropriate solutions, including metrics and analytics, business intelligence.
• 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.
• Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.
• Develop relationships with the CA stakeholders, to help socialize analytical insights, to collaboratively validate data and to develop a cohesive story of trends observed through analysis.
• Support a diverse set of value-driving reporting and analytic use cases to support the Customer Assistance business.
• Support existing processes or support new processes for the Customer Assistance teams primarily recurring activities that support business needs.
• Proactively identify opportunities and close gaps in understanding of the Customer Assistance (Collections) customer lifecycle.

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.
• Work collaboratively with teams to foster a culture of knowledge sharing, supporting other members of the team in achieving business objectives and support collective problem solving.
• 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.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally.
• Place TD's customers' best interests at the heart of your analyses and use of data.

Job Requirements

• Bachelor's degree in computer science, computer engineering, relevant technical field, or equivalent practical experience.
• 2+ years of experience performing advanced analytics or data science and/or consulting, ideally in an influencing or advisory capacity.
• Experience with working in technical languages such as SQL, Python, Pyspark. With additional experience in SAS, Spark, and Hive as an asset.
• Experience with visualization tools such as Tableau, Power BI, or Excel.
• Detailed oriented and highly organized to effectively manage multiple stakeholders, existing projects, new requests, resource constraints and competing priorities.
• Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
• Ability to extrapolate insights from large amount of data and develop actionable recommendations.
• Strong problem-solving skills, finance, mathematical and data literacy
• Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners.

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.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we're committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):