Data Scientist III (ML/Generative AI)

Work Location:

New York, New York, United States of America

Hours:

40

Pay Details:

$95,264 – $155,376 USD

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 candidates 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.

Line of Business:

Analytics, Insights, & Artificial Intelligence

Job Description:

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Department Overview:

The Advanced Analytics (AA) team at TD Bank serves as a center of excellence (CoE), providing essential support to US lines of business with their advanced analytics requirements. This dedicated team specializes in creating and implementing sophisticated statistical and Machine Learning and Artificial Intelligence solutions to address a wide range of strategic business challenges across consumer, commercial, and shared services sectors within TD Bank. The AA team collaborates closely with key stakeholders to identify opportunities for leveraging data-driven insights and predictive models to drive informed decision-making and optimize business outcomes. By harnessing cutting-edge analytical tools and techniques, the team helps TD Bank stay ahead of the curve in a rapidly evolving financial landscape. Additionally, they play a vital role in fostering a culture of innovation and continuous improvement by staying abreast of emerging trends and technologies in the field of advanced analytics. Through their expertise and dedication, the AA team contributes significantly to TD Banks competitive edge and overall success in the marketplace.

Position Overview:

The role is focused on developing and applying a broad set of evolving advanced statistical and AI/ML techniques to solve business problems. It includes gathering, analyzing, and modeling a wide range of data, applying mathematical models/techniques and tools, and utilizing software engineering best practices to develop and implement solutions.

The successful candidates will play a lead role in the end-to-end project delivery for large scale and cross-functional advanced analytics projects leveraging leading-edge techniques and innovative solutions to solve a wide array of business problems. They will provide deep technical expertise in stakeholder interactions related to complex advanced analytics and AI/ML areas.

Detailed accountabilities include:

Develop robust and reliable machine learning algorithms helping to solve strategic business challenges.

Use advanced techniques, such as advanced statistics, advanced mathematics, machine learning and AI, NLP, LLMs and Generative AI, geospatial analytics, storytelling & visualization, on structured and unstructured data to enable insightful actions.

Leverage a broad stack of technologies and platforms and packages— Python, Azure DataBricks, PySpark, PyTorch, and more — to reveal the insights hidden within huge volumes of numeric and textual data.

Work closely with various stakeholders and successfully lead the project through all phases of the model lifecycle, from ideation and design through data gathering, training, evaluation, control and governance partners review and approval process, implementation, and ongoing monitoring and maintenance.

Provides expertise in stakeholder interactions related to complex advanced analytics related material. Effectively communicate model design and results to senior leaders and business partners, articulate the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership.

Provide strong knowledge in various AI/ML areas. Deliver insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables.

Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI, including Generative AI, and share knowledge with more junior staff, business partners, and senior management.

Collaboration with cross-functional teams and stakeholders to translate business needs into innovative AI and data-driven solutions.

Maintain relationship with the teams strategic partners, such as business teams, AI2, and governance and control partners.

Provide thought leadership and mentorship to more junior staff.

Depth & Scope:

Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability

Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes

Position typically deals with senior/executive management

Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size

Focuses on longer-range planning for functional area (e.g. 12 months or greater)

May manage and prioritize multiple projects at a given time

Education & Experience:

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduates degree preferred with either progressive project work experience or

5 year of relevantexperience; higher degree education and research tenure can be counted

Preferred Qualifications:

Formal training or substantive experience in a quantitative field such as Computer Science,Statistics, Mathematics or relevant fields

In-depth knowledge of ML/AI algorithms and techniques, such as Gradient Boosting Method, NLP, modern Neural Networks, and time series forecasting.

Familiarity and experience with Generative AI techniques and advancements.

Full stack experience in data science product delivery, including data collection, aggregation, analysis, and visualization, development and testing, implementation, and monitoring

Proficiency in Python, PySpark, and SQL programming languages as well as object-oriented programming

Skilled with version control software or platform such as Git, Bitbucket or Github

Strong analytical and problem-solving skills

Ability to work independently and collaboratively in a fast-paced, dynamic environment

Excellent written and verbal communications skills

Good time management and project management skills with strong ability to successfully balance competing priorities in a fast-paced environment.

Ability to provide conflict resolution and collaborate effectively with teammates

Experience with distributed computing and parallel processing on large data sets using Spark

Experience with leading and managing a small team

Ability to research and implement Machine Learning algorithms from academic research papers

Customer Accountabilities:

Works closely with business owners to identify opportunities and serves as an ambassador for data science

Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions

Uses 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

Visualizes 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

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business

Shareholder Accountabilities:

Analytical thought leadership and stays current on developments in data mining and the application of data science

Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency

Educates the organization on approaches, such as testing hypotheses and statistical validation of result

Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment

Translates up to date information into continuous improvement activities that enhances performance

Adheres to enterprise frameworks or methodologies that relate to activities for business area

Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities

Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations

Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist

Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues

Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements

Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts

Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest

Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit

Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques

Participates in personal performance management and development activities, including cross training within own team

Keeps 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

Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices

Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships

Contributes to a fair, positive and equitable environment that supports a diverse workforce

Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

Who We Are:

TD is one of the worlds 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 base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (http://hrportal.ehr.com/tdtotalrewards)

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.

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

If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at USWAPTDO@td.com . Include your full name, best way to reach you, and the accommodation needed to assist you with the application process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.