Principal Data Scientist (US)

Principal Data ScientistWork Location: Southfield, Michigan, United States of AmericaHours: 40Pay Details: $148,720 - $223,080 USDTD 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 IntelligenceJob 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 methodsExceptionally leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholdersShowcases advance level peer leadership, impacts and influences partner, and may mentor/coach peersExtensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniquesActs as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insightsLeads authority on Data Science concepts, principals, practices and standardsThought leader on IT risk-based approaches to Data ScienceSets 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 bankProvides consultative and strategic guidance to executive leadershipPrincipal Data Science assigned to work autonomously on high profile, complex and high-risk technology initiatives with significant impact to the organizationPrimarily works at the enterprise levelEducation & 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 countedCustomer Accountabilities:Works closely with business owners to identify opportunities and serves as an ambassador for data scienceIs familiar with the business context and data infrastructure and can translate business problems to viable data science solutionsUses 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 dataVisualizes 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 understandingCollaborates 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 businessProvides 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 projectsPlays a lead role on cross functional teams of data scientists, data analysts, data engineers, and business process owners to build cutting edge analytic solutionsShareholder Accountabilities:Provides analytical thought leadership and stays current on developments in data mining and the application of data scienceProvides thought leadership and/or broad industry knowledge across multiple business/functional areas or across the enterpriseApplies industry/analytical expertise to provide innovative and sound solutions that increases business results and/or minimizes riskIdentifies 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 questionsProtects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessaryAccountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructuredEmploys techniques and theories drawn on many fields within the broad areas of mathematics and statisticsAdheres to enterprise frameworks or methodologies that relates to activities for business areaParticipates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situationsLeads/facilitates and/or implements action/remediation plans to address performance/risk/governance issuesActively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirementsKeeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impactsMaintains a culture of risk management and control, supported by effective processes in alignment with risk appetiteEmployee/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 interestProvides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unitKeeps current on emerging trends/developments and grows knowledge of the business, related tools and techniquesParticipates in personal performance management and development activities, including cross training within own teamKeeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activitiesContributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practicesLeads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationshipsContributes to a fair, positive and equitable environment that supports a diverse workforceActs as a brand ambassador for your business area/function and the bank, both internally and/or externallyPhysical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%Domestic Travel – OccasionalInternational Travel – NeverPerforming sedentary work – ContinuousPerforming multiple tasks – ContinuousOperating standard office equipment - ContinuousResponding quickly to sounds – OccasionalSitting – ContinuousStanding – OccasionalWalking – OccasionalMoving safely in confined spaces – OccasionalLifting/Carrying (under 25 lbs.) – OccasionalLifting/Carrying (over 25 lbs.) – NeverSquatting – OccasionalBending – OccasionalKneeling – NeverCrawling – NeverClimbing – NeverReaching overhead – NeverReaching forward – OccasionalPushing – NeverPulling – NeverTwisting – NeverConcentrating