Overview

We are at a transformational moment in our company journey – and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!

As a Text Mining and NLP Data Scientist within analytics group in Dun & Bradstreet, you will leverage text mining and NLP tools to derive meaning and insights from unstructured data. This position sits within the Government Business Unit and can be remote.

Responsibilities
Collaborate with research teams to develop tools that provide efficiency and optimization to their analysis techniques.
Support the engineering development team in the productization of developed solutions.
Communicate complex ideas to both a technical and non-technical audience.
Document specifications for analytic deliverables for coding and implementation.
As the ideal candidate, you have a strong business acumen, especially as it relates to Risk and Statistical Modeling. You are a fast learner, are dynamic and motivated and not afraid to push boundaries. You are also a strategic thinker with solid analytical and problem-solving skills.

Company:

Dun & Bradstreet

Qualifications:

Requirements
Master’s degree in a Risk related field (Accounting, Business, Economics, Finance, Math/Stat, Operations Research, etc.).
3 or more years of experience developing and deploying text and data mining solutions.
3 or more years of experience developing machine learning and deep learning models
Knowledge of Python packages and tools, particularly those developed for NLP techniques.
Advanced analytic programming skills, data mining and building models in Python and R.
Experience with Big Data Tools, such as SQL and Spark.
Proficient in managing product development deadlines, overcoming roadblocks, and managing expectations.
Strong familiarity with unstructured data.

Preferred Qualifications
PhD
The NLP Data Scientist will be a remote based position, but ideally located in the Washington DC Metro area.
Experience implementing more recent NLP models, including BERT and/or ELMO.
Knowledge of Neo4j.
Possess a strong analytical mind and ability to thrive in an ambiguous, fast-paced environment.

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

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