Principal Data Scientist

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Gather and analyze data utilizing data wrangling, profiling, visualization, and statistical inference to reveal actionable insights and create analytics solutions.

• Take full ownership of the end-to-end decision-making and pricing optimization engine.

• Leverage extensive historical and market data to formulate hypotheses, perform analyses, develop and assess machine learning models, and influence business decisions.

• Examine large-scale datasets and utilize statistical models to offer recommendations and address business objectives.

• Collaborate with business partners to pinpoint and enhance business strategies, evaluate alternative deal structures, and meet business P&L expectations.

• Remain updated on industry trends and optimization techniques within the auto finance sector.

• Lead complex, high-visibility, and high-risk data science and technology projects that have enterprise-wide implications.

• Provide advanced analytical capabilities and develop analytical presentations for executive audiences and stakeholders.

• Serve as a vital business partner by delivering consultative and strategic insights to business and executive leaders.

• Set the strategic direction and supervise the work of other data science professionals.

• Mentor, coach, and offer thought leadership to colleagues and cross-functional teams.

• Work alongside data and business analysts, software engineers, data engineers, and application developers to create scalable data science solutions.

• Drive strategic development efforts for emerging data science projects.

• Build innovative analytic solutions in collaboration with cross-functional teams.

• Identify analytical trends and data requirements, formulate hypotheses, and develop analytical models.

• Establish and execute processes and systems to derive knowledge and insights from data.

• Recognize and manage risks, implement remediation strategies, and adhere to governance standards.

• Maintain relationships across various business lines, corporate functions, and control functions.

• Engage in enterprise initiatives as a data science subject matter expert.

• Contribute to team development through knowledge transfer, mentorship, and sharing best practices.

• Keep stakeholders updated on project progress and relevant daily information.

• Foster a positive, equitable, and diverse work culture while acting as a TD brand ambassador.

⛳️ Requirements

• Bachelor's degree or an advanced technical degree is preferred, such as in math, physics, engineering, finance, or computer science.

• A graduate degree is preferred along with either progressive project work experience or over 10 years of relevant experience.

• Higher degree education and research experience may be considered as part of the overall experience.

• In-depth knowledge of the supported business and overall banking operations.

• Profound expertise and specialized knowledge of analytical concepts and techniques.

• Proficiency in data science concepts, principles, practices, and standards.

• Familiarity with a broad array of programming languages, including Python.

• Experience in data extraction and preparation, along with applying statistical methods and advanced analytics.

• Strong business acumen and capability to derive insights from large datasets.

• Competence in translating business challenges into actionable data science solutions.

• Ability to work with both structured and unstructured data.

• Knowledge of data mining techniques and applications in data science.

• Solid understanding of mathematics and statistics.

• Awareness of IT risk-based approaches to data science.

• Skill in identifying and managing risks while escalating high-risk activities.

• Capability to assess regulatory requirements and their potential impacts.

• Willingness to travel domestically on occasion.

• Ability to perform sedentary work and continuously operate standard office equipment.

• Capacity to sit and focus for extended periods.

🏝️ Benefits

• Competitive base salary and variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards.

• Comprehensive health and well-being benefits.

• Savings and retirement programs.

• Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO.

• Banking benefits and discounts.

• Opportunities for career development.

• Recognition and rewards programs.

• Regular discussions regarding career, development, and performance.

• Access to an online learning platform.

• Participation in mentoring programs.

• Training and onboarding sessions.

• Commitment to equal opportunity employment and disability accommodations.