Job Description

DEPARTMENT: Analytics

JOB TITLE: Manager of Data Science

REPORTS TO: Director of Analytics

WHO WE ARE: Nuvative is a fast-growing innovative technology company impacting employees through continuing education and guidance. As an employer of choice, we provide our employees with a culture of kindness, fairness, self-development, contribution, collaboration, diversity, innovation, and fun.

JOB PURPOSE:The Manager of Data Science at Nuvative, Inc., will play a key role in shaping our underwriting strategy, guiding the development of predictive models, and delivering actionable insights to support business objectives. The ideal candidate will have a proven track record of managing a team of data scientists, developing advanced analytical models, and driving data-driven decision-making processes with a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. The Manager of Data Science also works closely with the Data Science team on analysis and prediction of trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives.

ESSENTIAL EXPERIENCE, DUTIES and RESPONSIBILITIES

Manager of Data Science

RESPONSIBILITIES

• Manage a team of data scientists to develop and implement analytical models and algorithms.
• Lead the design and execution of data science projects to support business goals.
• Collaborate with cross-functional teams to define project requirements and deliverables.
• Provide strategic guidance on data science initiatives and best practices.
• Communicate complex technical concepts and findings to non-technical stakeholders.
• Stay current with the latest developments in data science and apply best practices to solve business challenges.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Identify gaps in current data systems, drive and contribute to development of systems to bridge gap.
• Plans and executes ongoing strategies including maximization of technologies and processes.
• Responding with urgency to high priority requests from senior business leaders.
• Take initiative to make things better and provide solutions for challenges.
• Anticipate operational needs based on volume/expansion and make recommendations.
• Drive change ? produce clear, understandable visualizations and reports to share with Senior Management.
• Any other duties as assigned.

QUALIFICATIONS

• BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred).
• In depth knowledge and understanding of finance and loan underwriting desired.
• 5 years of experience in data science, with at least 2 years in a management or leadership role.
• Strong SQL abilities and experience with massive relational database systems.
• Programming skills in R or Python and experience with related machine learning packages.
• Proven track record of assisting business decisions with accurate data and analysis.
• Strong analytical and problem-solving skills.
• Excellent leadership, communication, project management skills, and collaboration abilities.

COMPETENCIES

• Ability to produce significant output with minimal waste of effort.
• Plans, organizes, and schedules time in an efficient, productive manner.
• Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
• Not allowing crucial details to slip through the cracks or derail a project.
• Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
• Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences.

• A decisive individual with excellent organizational skills and the ability to multi-task effectively

The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.