Data Scientist II (US)

TD • Fort Lauderdale, FL

1d • $76,128 - $124,800 • Hybrid

About The Position

The Data Scientist II is responsible for collecting data and using 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. Works autonomously within a specialized business management function and may provide work direction to others Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members Scope of role may have enterprise impact Focuses on short to medium - term issues (e.g. 6-12 months) Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise Oversees and/or independently performs tasks from end-to-end

Requirements

• 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;
• 3+ years of relevant experience;
• higher degree education and research tenure can be counted
• SQL
• Excel

Nice To Haves

• SQL Developer
• Python
• Previous AML/Sanctions Screening experience is preferred but not mandatory.
• Degree in a quantitative field (mathematics, statistics, computer science, data science, data analytics, etc.).
• Some experience navigating large data sets and ability to extrapolate technical/complex issues.
• Hands-on experience in developing SQL relational tables, OLAP cubes, data marts.
• Ability to manage and optimize database and data warehouse systems.
• Critical thinking, analytical thinking, attention to detail, integrity.

Responsibilities

• Understands business context and data infrastructure and translates 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.
• 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 enhance performance.
• Adheres to enterprise frameworks or methodologies that relate to activities for our 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees