CIAL Dun & Bradstreet
CIAL Dun & Bradstreet is seeking a data professional to lead strategic data science projects, focusing on automating processes and developing predictive models to solve business challenges. The role involves working with large datasets, integrating AI solutions, and collaborating across teams.
Headquarters
Fort Lauderdale, Florida, United States
Company Size
201-500 employees
Founded
2016
CIAL Dun & Bradstreet provides B2B data, analytics and platform technology to help organizations make faster, more accurate commercial decisions globally. Their offerings combine Dun & Bradstreet’s business intelligence — including commercial identity (D‑U‑N‑S), credit and risk scores, supplier and compliance screening — with APIs, integrations and self‑service platforms for onboarding, credit risk management, sales intelligence and supply‑chain visibility. Enterprises, financial institutions and governments use CIAL D&B for credit underwriting, customer acquisition, fraud prevention and supplier due diligence thanks to broad data coverage, standardized identifiers and configurable analytics. Backed by Dun & Bradstreet’s global network, they emphasize compliance, data quality and scalable integrations.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for CIAL Dun & Bradstreet.
46% below the average for this role