Job Responsibilities:
- Works with a wide range of proprietary, industry-standard and open-source data stores and tools to assemble, organize and analyze data
- Converts data into actionable insights
- Utilizes data visualization tools to tell an effective story
- Leverages a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems
- Designs controlled experiments to test and validate hypotheses
- Understand and translate business needs into data models supporting long-term solutions
Required qualifications, capabilities and skills:
- Deep understanding of data structure and strong SQL skills
- Experience using statistical programming languages (Python, R) to manipulate data and draw insights from large data sets
- Practical understanding of advanced statistics, A/B testing, machine learning, and data mining
- Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business
- Strong storytelling capabilities
- Aptitude for learning new theory and new technology
- Degree in Data Science, Applied Mathematics, Statistics, Engineering, Computer Science or similar STEM discipline
Preferred qualifications, capabilities and skills:
- Master’s Degree with 2+ years of advanced analytics experience
- Functional industry experience in finance, operations, sales, marketing, credit/risk, or technology
- Knowledge of the mortgage industry