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TD · 22 hours ago

Lead Data Scientist

Lincoln County, NE

Full-time

Onsite

Senior Level, Lead/Staff

$123K/yr - $185K/yr

7+ years exp

TD is one of the world's leading global financial institutions, and they are seeking a Lead Data Scientist responsible for collecting data and using a wide range of data science techniques to uncover actionable insights. The role involves providing oversight and consultative advice, evaluating technical solutions, and leading innovation to solve complex business issues.

BankingFinanceFinancial ServicesWealth Management

H1B Sponsor Likely

Responsibilities

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 advanced 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

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

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

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

Qualification

Data Science TechniquesPythonStatistical InferenceData WranglingData VisualizationAnalytical LeadershipMentoringCollaborationCommunicationProblem Solving

Required

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

7+ year of relevant experience; higher degree education and research tenure can be counted

Uses a wide range of programming 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