At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
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:
• 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 in a machine learning or data scientist role in a production environment
• Demonstrated experience with natural language processing
• Demonstrated experience with Python or other object-oriented programming frameworks
• Demonstrated experience in using SQL for data extraction
• 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 correspon
Location: Seattle, WA, United States
Posted: Sept. 30, 2024, 5:06 p.m.
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