Principal Data Scientist (US)

Work Location: Southfield, Michigan, United States of America Hours: 40 Pay Details: $148,720 - $223,080 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 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. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Principal Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. In addition, the Principal Data Scientist provides technical expertise with a focus on bank and industry-wide solutions that addresses capability gaps to create opportunities for significant value for customers. Own end-to-end decisioning and pricing optimization engine, use large-scale historical and market data to form hypotheses, conduct analyses, develop machine learning models, evaluate and implement model and drive business decisions Analyze large-scale data and apply statistical models to recommend insights and solve business objectives Collaborate with business partners to identify and refine business strategies, analyze alternative deal structures and deliver business P&L expectations Stay up to date on industry trends and optimization methodologies in auto finance markets Depth & Scope: Delivers advanced analytical capabilities above and beyond existing methods Exceptionally leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholders Showcases advance level peer leadership, impacts and influences partner, and may mentor/coach peers Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights Leads authority on Data Science concepts, principals, practices and standards Thought leader on IT risk-based approaches to Data Science Sets the direction and oversees the work of other Data Science professionals on complex, highly visible projects of significant profile, strategic importance, and enterprise impact to the bank Provides consultative and strategic guidance to executive leadership Principal Data Science assigned to work autonomously on high profile, complex and high-risk technology initiatives with significant impact to the organization Primarily works at the enterprise level Education & Experience: 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, or; 10+ year of relevant experience; higher degree education and research tenure can be counted 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 Provides deep technical leadership and expertise to support and define future direction in one or more specialized areas or leads strategic development efforts on new or emerging data science related projects Plays a lead role on cross functional teams of data scientists, data analysts, data engineers, and business process owners to build cutting edge analytic solutions Shareholder Accountabilities: Provides analytical thought leadership and stays current on developments in data mining and the application of data science Provides thought leadership and/or broad industry knowledge across multiple business/functional areas or across the enterprise Applies industry/analytical expertise to provide innovative and sound solutions that increases business results and/or minimizes risk Identifies new analytical trends/data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and creates analytical models that help answer impactful business questions Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessary Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics Adheres to enterprise frameworks or methodologies that relates to activities for business area Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations 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 Physical Requirements: