Machine Learning Engineer

At PitchBook

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

PitchBook's Data Science and Machine Learning team has a clear mission: leverage cutting-edge machine learning and cloud technologies to automatically research private markets and improve the navigability of our platform. The Machine Learning (ML) Engineer is responsible for using machine learning and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users. This role requires a strong desire to learn and deliver value through scalable machine learning systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

Primary Job Responsibilities:

• Understand the design and develop new Features and Services using Python language
• Apply NLP and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision-making, and insights
• Work with data scientists and understand the AI/ML based code written by them to transform it into the deployable, configurable manner using object-oriented concepts
• Extract Insights from Textual Data: Analyze unstructured data such as articles and conversations to identify unique signals of private company performance, aiding market trend prediction
• Collaborate Efficiently: Partner with Product and Engineering teams to automate processes for large-scale data, improving data management, and analysis
• Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership
• Support Company Vision: Share our company's values and foster a positive work culture
• Participate in Initiatives: Engage in company projects to contribute to overall success

Skills and Qualifications:

• Bachelors/Masters degree in Computer Science, Machine Learning, Statistics, or related fields
• 24 years of experience with Python or other object-oriented programming frameworks
• 24 years of experience with building REST based APIs using python and framework such as Flask, Django
• 24 years of experience with natural language processing (NLP)
• Experience using complex SQL queries for data extraction and transformation
• Experience in writing unit and integrating test cases using python libraries
• Strong communication and data presentation skills
• Strong problem-solving ability
• Ability to communicate complex analysis in a clear, precise, and actionable manner
• Experience working closely with software development team(s) is a plus
• Experience building scalable systems in production is a plus
• Knowledge of financial services, investment, banking, venture capital, or private equity is desired but not required

Working Conditions

This employee will work in a standard office setting. Some flexibility with work-from-home is a possibility. Employees in this position use a computer on an ongoing basis throughout the day.

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Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.