AVP Data Science

About this role

• Manage a team of Data Scientists
• Lead in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the Business
• Build technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
• Develop and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
• Present findings and analysis for use in decision-making
• Ensure that the delivered products meet the business needs of the Company
• Partner with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
• Prioritize tasks and meets project deadlines in a fast-paced work environment

Qualifications

• Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability and statistics
• Ability to identify and understand business issues and map these issues into quantitative questions
• Comprehensive knowledge and experience with technical systems, datasets, data warehouses and data analysis techniques
• Proficiency in experimental design, ability to design and implement documentation and monitoring protocols
• Advanced knowledge of principles, standards, practices and techniques relating to quantitative analysis for a financial firm
• Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components and linear programming techniques
• Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word and PowerPoint
• Efficient quantitative skills with very large datasets
• Provides leadership, coaching and/or mentoring to Data Scientists
• MS Office required
• Proficient in at least one of Python, R or SAS
• Ability to lead technical professional and influence their technical and leadership development
• Strong written and verbal presentation skills with an ability to communicate effectively with senior management by making complex concepts easy to understand
• Ability to be curious, ask questions, explore and be creative when analyzing data and business problems
• Ability to identify and seek needed information/research skills
• Analytical thinking skills
• Ability to interact collaboratively with internal and external customers
• Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
• Strong problem-solving skills
• Extensive experience presenting highly complex analysis to upper management is required
• Normal office environment

Additional Knowledge and Skills

• Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
• Skills in evaluating AI outputs for accuracy, compliance, and bias
• Experience integrating AI into workflows to improve efficiency or insights
• Familiarity with AI assisted research, summarization, and content generation
• Understanding of responsible AI use, including ethics and data protection

Work Experience and Education

• 7-10 years experience in modeling Required
• 3-5 years experience in management and/or leadership Required
• Bachelor's Degree Required
• Master's Degree PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science or similar quantitative field Required

What We Offer

• Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays

Compensation: Competitive pay and bonus eligibility.

Work Life Balance: Flexible hybrid work environment, 3-days a week in office.