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:

• Apply NLP and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision-making, and insights 
• 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:

• Bachelor's/Master's degree in Computer Science, Machine Learning, Statistics, or related fields 
• 2+ years of experience building predictive models in a production environment 
• 2+ years of demonstrated experience with natural language processing (NLP)
• 2+ years of demonstrated experience with Python or other object-oriented programming frameworks
• Demonstrate experience using complex SQL queries for data extraction and transformation
  
• 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 

 

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

 

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

 

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

 

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

 

Compensation

• Annual base salary: $125,100-$164,000
• Target annual bonus percentage: 10%

 

*Starting pay will be based on several factors and commensurate with qualifications & experience. We also have a location-based compensation structure; there may be different ranges for candidates by location.

 

Working Conditions:

We believe our business and our culture are strongest when we work together in person. We also know that it’s helpful to have some flexibility to work remotely. Most roles work in the office 3+ days/week, and some are expected to work in the office 4-5 days/week. The current expectation for this role is that you are working in the office 3+ days/week and that you are in the office full-time during the training period, for which the length varies by role. During an initial phone screen, the team will discuss expectations for this specific position.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

 

Life At PB:

We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It’s our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we’ve heard creates a sense of belonging within PitchBook and strengthens the PitchBook community.

 

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

 

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