Senior Data Scientist
AngiFull Time
Senior (5 to 8 years)
Candidates should possess a Master’s Degree or Ph.D. in a quantitative or applied field such as Statistics, Econometrics, Computer Science, Operations Research, Mathematics, or Engineering, and have at least 7 years of experience in data science roles, particularly those involving cross-company collaboration. Strong knowledge of statistical modeling, machine learning, natural language processing, and graph analysis is required, along with experience in automating and scaling internal business processes.
The Data Scientist will participate in all stages of modeling engagements, including design, development, validation, calibration, documentation, and reporting, while researching complex business issues and recommending solutions. They will establish and maintain relationships with key business stakeholders, engage with clients and colleagues to identify needs, develop and implement solutions, and serve as a Subject Matter Expert on predictive models. The role also involves developing Global Analytic Solutions, validating existing risk models, driving data retrieval for algorithm development, and identifying the business relevance of new methods, ultimately supporting Dun & Bradstreet’s initiatives.
Business intelligence products for companies
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.