Principal Data Scientist

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

📋 Description

• Gather data and apply data science methodologies such as data wrangling, profiling, visualization, and statistical inference to reveal actionable insights and create analytical solutions.

• Oversee the complete decision-making and pricing optimization process.

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

• Examine large datasets and implement statistical models to propose insights and achieve business goals.

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

• Remain updated on industry trends and optimization practices within auto finance markets.

• Independently lead complex and high-profile analytical projects while delivering presentations to executive teams.

• Set strategic direction and supervise the work of other Data Science professionals.

• Offer consultative and strategic advice to executive leadership.

• Identify opportunities, convert business challenges into data science solutions, and act as a data science ambassador.

• Visualize insights and convey results to decision-makers and stakeholders.

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

• Provide technical leadership in specialized areas of data science and guide strategic development initiatives.

• Share analytical and industry thought leadership, detect analytical trends and data requirements, and develop repeatable analytical solutions.

• Identify and mitigate risks, escalate high-risk activities, and implement corrective action plans.

• Engage in cross-functional and enterprise projects as a data science expert.

• Foster relationships across business units and ensure compliance with enterprise and regulatory standards.

• Uphold risk management and control processes.

• Mentor colleagues, contribute to team capacity building, and facilitate knowledge transfer.

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

⛳️ Requirements

• Preferred graduate degree with either progressive project work experience or over 10 years of relevant experience.

• Preferred undergraduate or advanced technical degree in math, physics, engineering, finance, computer science, or a related discipline.

• Thorough understanding of the supported business and the overall banking environment.

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

• Advanced proficiency in data science, including data wrangling, profiling, visualization, statistical inference, and machine learning.

• Strong programming skills in languages such as Python.

• Experience in extracting and preparing large-scale datasets.

• Solid understanding of statistics, data mining, optimization methodologies, and advanced analytics.

• Capability to translate business challenges into effective data science solutions.

• Ability to analyze various deal structures and meet business P&L expectations.

• Strong business acumen and skill in communicating analytical insights to both technical and non-technical audiences.

• Competence in leading complex analytical projects independently and presenting findings to executive audiences.

• Ability to provide technical leadership and strategic direction.

• Experience or expertise in auto finance markets is preferred.

• Capacity to identify and manage risks while aligning work with enterprise and regulatory standards.

• Proficiency in collaborating with data scientists, analysts, engineers, developers, and business process owners.

• Ability to mentor and coach peers.

• Capability to work independently on high-profile, complex, and high-risk technology projects.

🏝️ 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, encompassing Vacation PTO, Flex PTO, and Holiday PTO.

• Banking benefits and discounts.

• Opportunities for career development.

• Recognition and reward programs.

• Regular performance discussions and career development conversations with management.

• Access to an online learning platform.

• Participation in mentoring programs.

• Training and onboarding sessions.

• Disability accommodations available for the application process.