Job Description

In this role, you will: Manage and develop a team of individual contributor roles conducting a range of analytical and predictive modeling for data science initiatives with low to moderate complexity and risk that drive and influence objectives and products and improve business performance Engage stakeholders and internal partners associated with the data-driven insights, patterns, and recommendations made by the data science team Identify and recommend opportunities to leverage data science with a focus on actionable insights; lead hypothesis generation around low to moderate critical business problems Make decisions and resolve issues regarding resources, objectives, and operations of the data science team to meet business objectives; interpret and develop policies and procedures for functions with low to moderate complexity within scope of responsibility Collaborate with and consult with peers, colleagues, and multiple level managers Implement strategies for developing and utilizing advanced analytic data science resources to recommend business solutions and initiatives Provide thought leadership to the team on data science best practices, methods, and tools used to maximize output Communicate actionable insights and recommendations using data provided by the team in a digestible format to a non-technical audience of varying levels Manage allocation of people and financial resources for aligned department or business group Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of leadership experience Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Virtual leadership experience with ability to effectively drive results, provide feedback/direction, and manage and build relationships with leaders and team members in a geographically dispersed team environment. Proficient in statistical analysis, data visualization tools such as Tableau, and programming languages such as Python SAS R and SQL Proven experience in digital marketing with a focus on digital campaigns, consumer behavior and market research Strong understanding and experience working on SEO, SEM, social media algorithms, and other digital marketing channels such as Organic, Ads, Social, Email etc. Should have experience working with Paid Marketing, Pay per click (PPC), placements, campaigns etc. Strong communication skills with the ability to convey complex analytical findings to non-technical stakeholders Proven experience working with large datasets and databases, extracting meaningful insights to inform marketing strategies Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important. Ability to work cohesively and collaborate with analytic functions throughout the organization Relationship management experience with business and technology partners Experience working with complex data environments. Experience with providing detailed, thorough, and accurate documentation procedures and repeatability standards. Ability enforcing accountability for high quality work among a large number of analysts. Experience in gathering, analyzing and interpreting large datasets. Knowledge and understanding of consumer lending data and analytics. Excellent verbal, written, and interpersonal communication skills, and strong analytical skills with high attention to detail and accuracy. Job Expectation Ability to identify data root cause issues with the ability to create immediate solutions. Ability to motivate staff to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.