Overview

In just a little over a decade, PitchBook has grown into a global organization with offices in Seattle, San Francisco, New York and London. With consistent high double-digit growth since 2009, the company has become the industry’s leading source of private market data, serving more than 3,000 clients around the world.

As a four-time winner of the Best Workplaces in Washington award, PitchBook is committed to fostering an open, collaborative work environment driven by excellence, inclusion and fun. Our culture is at the heart of our success, and it’s something we work on every day.

Job Overview

The ideal candidate will have a strong grasp of Machine Learning, statistical modeling and Natural Language Processing techniques. A desire to learn, and a strong motivation to succeed are integral parts of our team, and we expect everyone to be a force for shaping the long term direction of our products.

Key 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 Data Visualization and Product teams to establish scalable, efficient, automated processes for large scale data analyses and models
Provide thought leadership on Data Science/ML best practices by staying informed of current trends in industry

Company:

PitchBook Data

Qualifications:

Basic Qualifications

B.S. in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. Bachelor’s degree considered with strong industry experience.
Experience with NLP, and/or machine translation tasks
Experience with Python, Java or other relevant programming frameworks
Experience in using SQL for data extraction
2+ years of experience leveraging the above mentioned skills in a production environment
Strong communication and data presentation skills
Strong problem solving ability

Preferred Qualifications

Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Experience working closely a with software development team(s)
Financial services, investment, banking, venture capital and/or private equity knowledge, but not required.

Educational level:

Bachelor’s Degree

Level of experience (years):

Mid Career (2+ years of experience)

How to apply:

Please mention NLP People as a source when applying

https://pitchbook.com/about/careers

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About PitchBook Data

PitchBook provides comprehensive M&A, private equity and venture capital data, as well as daily industry news & analysis