Company Overview
Founded in 2006, Kapitus is one of the most reliable and respected names in small business financing. As both a direct lender and a marketplace built with a trusted network of lending partners, Kapitus is able to provide small businesses the financing they need, when and how it is needed. With one application business owners can save time and money, while eliminating the stress that comes with applying to different lenders. At Kapitus, we believe that business owners should be able to focus on running their business
Description
Kapitus is looking for a Lead Data Scientist to join our diverse data team to develop cutting edge solutions to complex business problems using machine learning, statistical and mathematical modeling, and advanced analytics. The role requires a rare combination of analytical expertise; business acumen; a strategic mindset; client relationship skills; problem solving; and a passion for using advanced machine learning and statistical modeling to generate business impact. This is an exciting opportunity to be at the forefront of data science, lead teams, work on challenging business problems, and have a significant impact in transforming businesses.
What You Will Do
- Lead the development and deployment of predictive models to enhance sales and marketing strategies.
- Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions.
- Analyze large datasets to extract actionable insights and drive decision-making processes.
- Develop and maintain machine learning models to predict customer behavior and improve targeting strategies.
- Monitor and evaluate the performance of models and make necessary adjustments to improve accuracy and efficiency.
- Mentor and guide junior data scientists and analysts in best practices and advanced analytical techniques.
- Identify new data sources that add lift to predictive modeling capabilities; work with bureaus and other data services to satisfy data requirements
- Stay updated with the latest industry trends and technologies to ensure the company remains at the forefront of data science innovation.
What We Are Looking For
- MS or PhD in Economics, Marketing, Statistics, Finance, Survey Research or another related quantitative field
- 5+ years financial services experience
- 5+ years building models in an applied context
- Strong attention to detail; excellent communication and project management skills
- Thorough understanding of machine learning techniques
- Ability to perform exploratory data analysis and visualization
- Experience with marketing mix modeling, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting
Additional Requirements
- Econometric modeling, traditional modeling techniques (regression, tree-based models), deep learning
- Agile, Scrum experience
- Technical experience with Python, SQL, Linux, AWS
APPLY