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TD · 17 hours ago

Data Scientist III (US)

United States

Full-time

Remote

Senior Level

$87K/yr - $130K/yr

5+ years exp

TD is one of the world's leading global financial institutions, and they are seeking a Data Scientist III to manage significant business management areas with enterprise-wide impact. The role requires expertise in data management solutions, collaboration with business owners, and analytical thought leadership to improve business processes through data science.

BankingFinanceFinancial ServicesWealth Management

H1B Sponsor Likely

Responsibilities

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

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

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

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 SciencePythonStatistical AnalysisData VisualizationProject ManagementCollaborationCommunicationProblem 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 5+ years of relevant experience; higher degree education and research tenure can be counted

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

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

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

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 results

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 enhance performance