Work Location:

Hours:

Line of Business:

Pay Details:

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:

Department Overview:

TD's Analytics, Insights and Artificial Intelligence (AI2) team provides consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. AI2 is an exciting team to be a part of as we are transforming how we provide key insights and opportunities for our business partners to better serve our customers.

The Test & Learn CoE within AI2 empowers colleagues to make impactful decisions and enhance customer experiences by applying advanced statistical experimental designs and analytics. By establishing standardized frameworks and scalable analytical assets across the organization, the team fosters a culture of trusted, best-in-class, intelligent decision-making.

The Test & Learn CoE’s mandate includes:

• Expanding colleague expertise through training and collaboration
• Designing and executing experimentation roadmaps to quickly deliver business value and identify opportunities for operational efficiencies
• Building scalable capabilities for enterprise-wide experimentation and intelligent decisioning
• Promoting trust through effective governance

Job Description

As part of Analytics, Insights and Artificial Intelligence's (AI2) Personalization and Intelligent Decisioning Centres of Excellence (CoEs), the Test & Learn CoE specializes in designing and implementing statistical experimental designs for analytical solutions and developing scaled capabilities and training for use across TD.

Are you someone who is interested in an environment where they can make an immediate impact and identify opportunities for improvements across the entire analytics solution lifecycle?

We are looking for a data scientist experienced in designing and implementing experimental design such as A/B/N testing. The candidate will be expected to quickly understand the business context and analytics solution and be able to create and implement an experimentation roadmap, identifying and advising on KPIs and business opportunities.

Responsibilities include:

• Manage and perform statistical analysis comparing test and control groups using techniques such as T-Test, ANOVA, non-parametric tests, time-series attribution, Difference-in-Difference, Causal Impact modelling, and attribution modelling framework
• The candidate will be proficient with sampling methodologies, creating comparable test and control groups
• Proactively contribute to development of a Test & Learn tool and strategy
• Collaborate with internal and external stakeholders to devise testing strategies and attribution modelling
• Independently design experimental Test and Learn projects, including identifying and advising on the right KPIs
• Support data sets for analysis/modelling, including cleaning data and feature engineering
• Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
• Support team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
• Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals/approaches
• Collaborate with business partners to support the business case development process for analytics solutions
• Educate the organization about the steps of empirical studies, including common challenges and solutions
• Help the organization understand the principles and math behind the scientific process to drive organizational alignment
• Provide thought leadership or industry expertise around experimentation, and participate in knowledge transfer within the team and business unit
• Stay current on emerging developments in experimentation methodologies, continuously expanding knowledge of the business, related tools, and techniques
• Lead, motivate, and develop collaborative relationships with internal and external stakeholders—including data scientists, business partners, and technical teams—to drive the successful design, deployment, and analysis of tests

What we're looking for:

• 3+ years of experience in experimental design such as a/b/n testing or in a similar role focused on optimization/attribution of analytics solutions (higher degree education and research tenure can be counted)
• Undergraduate degree or advanced technical degree preferred (e.g., math, statistics, physics, engineering, finance, or computer science). Graduate's degree preferred
• Self-motivated and proactive in influencing stakeholders to ensure objective testing
• Strong background in statistics, especially designing and implementing tests
• Excellent problem-solving skills and the ability to work independently and as part of a team
• Excellent oral and written skills, and demonstrated ability to digest complex information and summarize in a clear, concise fashion
• Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo
• Proficient with Python
• Nice to have: Shiny, R, Unit testing
• Knowledge of Data Bricks, Cloud Computing, ADL (Azure Data Lake), ADF (Azure Data Factory) considered an asset
• Familiarity with building, deploying and managing machine learning models and ad-hoc analytics solutions would be an asset

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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

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):