Data Scientist
R-15559
Confirmed live in the last 24 hours
Dun & Bradstreet

5,001-10,000 employees

Business intelligence products for companies
Company Overview
Dun & Bradstreet seeks to create a global network of trust enabling clients to turn uncertainty into confidence, risk into opportunity, and potential into prosperity. The company is building on its world-class data and analytics—Dun & Bradstreet Data Cloud—to deliver more data and deeper insights.
Financial Services
Data & Analytics

Company Stage

N/A

Total Funding

$385.4M

Founded

1840

Headquarters

Jacksonville, Florida

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

1%
Locations
Livingston, NJ, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Sales
Data Science
SQL
Scala
Natural Language Processing (NLP)
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Master's degree in a quantitative / applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
  • Experience with programming and modeling using Python, PySpark, Scala
  • Experience collaborating with internal and external stakeholders/clients
  • Proficient SQL skills and experience working with large data sets (big data, IoT data)
  • Experience applying current machine learning techniques
  • Knowledge of evolving data science concepts and best practices
  • Experience communicating complex ideas to both a technical and non-technical audience
Responsibilities
  • Develop novel solutions to market-driven problems using AI/ML/NLP techniques and statistical analysis
  • Maintain existing analytic products and support Sales and Implementation teams
  • Serve as a Subject Matter Expert on data, analytics and AI models within various lines of business
  • Help build new data science capabilities
  • Guide and mentor junior analysts
  • Identify business relevance of new methods and work with cross functional teams to create prototypes
  • Collaborate with internal and external stakeholders to understand business needs and technical requirements
  • Participate and support other teams for all aspects of model development
  • Derive actionable insights from unconventional big data using a variety of analytic techniques
  • Research complex business issues and recommend solutions
Desired Qualifications
  • Creative and inquisitive in nature
  • Thrives on change
  • Flexibility to master and apply new analytic tools