Machine Learning Engineer at PitchBook

Seattle, Washington, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Financial DataIndustries

Requirements

Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field
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
Demonstrated experience using complex SQL queries for data extraction and transformation
Experience in transformer-based language models
Proficient in deep learning frameworks (i.e., TensorFlow and PyTorch)
Strong communication and data presentation skills
Strong problem-solving ability
Ability to communicate complex analysis in a clear, precise, and actionable manner
Must be authorized to work in the United States without the need for visa sponsorship now or in the future

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 the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested

Skills

Machine Learning

Natural Language Processing

NLP

Python

Data Collection

PitchBook

Provider of private market data insights

About PitchBook

PitchBook provides detailed information and insights on private market data, focusing on venture capital, private equity, and mergers and acquisitions (M&A). Its main product is the PitchBook Platform, which consists of various software applications that allow users to access a vast database of information about companies, deals, investors, and funds. This platform is subscription-based, meaning clients pay for different levels of access based on their needs. PitchBook stands out from competitors by offering comprehensive data that is essential for investment professionals, business executives, and advisors, particularly in Europe and North America. The company's goal is to empower its clients to make informed investment decisions and stay updated on market trends.

Seattle, WashingtonHeadquarters

2007Year Founded

$13.4MTotal Funding

ACQUISITIONCompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Flexible work program

Generous PTO

Paid sick days

Company-wide days off

Learning & development opportunities

401k & company matching

Medical, dental and vision insurance

HSA+FSA Accounts

Paid parental leave

Transportation stipend

Team building & company-wide events

Risks

Leadership transition risk as founder John Gabbert steps down from CEO role.

Increased competition from platforms like Intapp's DealCloud challenges PitchBook's market position.

Potential over-reliance on the North American market exposes PitchBook to regional downturns.

Differentiation

PitchBook offers comprehensive data on venture capital, private equity, and M&A.

The PitchBook Platform provides award-winning software applications for unparalleled data insights.

PitchBook serves a diverse clientele, including investment professionals and business executives.

Upsides

Increased demand for ESG data presents a new expansion opportunity for PitchBook.

The rise of SPACs creates a market for SPAC-related insights on PitchBook's platform.

Growing interest in secondary market transactions could expand PitchBook's database offerings.

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