Principal Data Scientist

Description

Why We Work at Dun & Bradstreet

Life here at Dun & Bradstreet is changing – for the better. With almost two centuries of experience and a new modern vibe, work at D&B has never been more exhilarating.

Our purpose is to grow the most valuable relationships in business by uncovering truth and meaning from data. We’re wildly passionate about our purpose, and it has us evolving everything we do - from how we engage with our customers to how we energize one another. And you'll feel that energy in our hallways and product labs, client meetings and whiteboard sessions, hashtags and annual reports.

So if you thrive in a fluid, agile culture but want the solidity of a storied and commanding brand, come join us!

Principal Data Scientist

·Apply machine learning unsupervised and supervised methods, natural language processing methods to develop custom models, new analytical solutions and capabilities.

·Create new solutions leveraging deep machine learning and AI experience while working both with structured and unstructured data.

·Analyze internal raw and structured data, investigate alternate data sources by discovering patterns utilizing data engineering, data mining and visualization components to support business needs.

·Create libraries, packages, new analytical solution and models while working with internal teams on implementation of capabilities within analytical platforms.

·Research complex business issues and recommend solutions, including model inputs, model design frameworks, and end products that drive innovation for the company.

·May telecommute three (3) days per week from within Florham Park, NJ area.

Requirements

• Master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field (foreign degree equivalent acceptable) and five (5) years of experience in the job offered or an advanced statistical and data analytics role.
• Prior experience must include (5) years in/with: Data analysis and data mining using univariate distribution, bivariate analysis, and descriptive statistics; development and delivery of analytical products and solutions; supervised machine learning methods and natural language processing; statistical concepts and probability theories; neural network, boosting methods and hyper parameter tuning; programming and data modeling using Python and PySpark; working with large datasets and risk models using SQL; developing and implementing machine learning models in a Spark environment.
• Prior experience must include three (3) years in/with: Model validation and computing model performance statistics including ROC, KS and Gini coefficient; working with cross-functional stakeholders using agile methodologies.

#LI-DNI

#IND-DNS

At D&B we value the diversity of perspectives that result from a variety of life experiences: ethnicities, ages, sexual orientations, genders, and other factors. Ours is a winning culture where we work together as a team with a clear focus on common goals and where team members are able to grow, develop and contribute to their fullest. Since 1841, we’ve given companies the insight they need to realize their potential... and we can do the same for your career.

As an industry leader, we offer world-class compensation and an exceptional benefits package. As well, you will enjoy an environment that recognizes and rewards your accomplishments.

D&B is an equal opportunity employer.