At PitchBook, a Morningstar company, the business problem is to deepen the positive impact on customers and the company by using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect and surface insights for the capital markets.
Requirements
- Experience in a similar role in a production environment
- Experience or exposure with natural language processing (NLP)
- Experience or exposure with Python, R, or other relevant programming frameworks
- Experience or exposure in using SQL for data extraction
- Strong problem-solving ability
- Ability to communicate complex analysis in a clear, precise, and actionable manner
- Experience working closely with a software development team(s) a plus, but not required
Responsibilities
- Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data
- Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use clustering algorithms to drive insight into the data
- Analyze textual data such as articles and conversations to identify novel signals of private company performance
- Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models
- Contribute to thought leadership on Data Science and Machine Learning best practices by staying informed of current trends in industry
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Other
- Bachelor’s degree in Computer Science, Machine Learning, Statistics, or related field
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
- Strong communication and data presentation skills
- Ability to work in a standard office setting 5 days a week
- Limited corporate travel may be required to remote offices or other business meetings and events
