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Lead Data Scientist at Dun & Bradstreet

Posted in General Business 23 days ago.

This job brought to you by eQuest

Type: Full-Time
Location: Reston, Virginia





Job Description:

Why We Work at Dun & Bradstreet

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!

In Dun & Bradstreet’s Government and Advanced Analytical Solutions Group we are creating visionary solutions to complex government issues, often before the government can even see their own problems. We’re taking big data to big government to create efficiency in agencies large and small. We’re designing processes and tools to improve the government operations of today and tomorrow in areas including healthcare fraud, tax analysis, acquisition and procurement, and economic development. We make government run better, faster and smarter; spending taxpayer dollars more wisely, and delivering better government to citizens.

The Government and Advanced Analytical Solutions Group is currently hiring a Lead Data Scientist with project management experience. The Lead Data Scientist will be hands-on Data Scientist who will be responsible for leading projects through the development and execution process.

Essential Responsibilities:


  • Apply project management skills, statistical expertise, and knowledge of credit data and analytical resources to determine the scope, design, development of data requirements and specifications, statistical analysis or mathematical modeling, summarize results in PowerPoint, including partnership with regional analytical groups, and ensure that deliverables are in accordance with client expectation and business need within time and cost constraints.

  • Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.

  • Research complex business issues and engage clients to identify their business needs. Develop, implement, and recommend solutions, including model inputs and end products.

  • Better understanding of banks processes, can use advanced analytics to provide faster and more accurate responses to regulatory requests and give teams analytics-enhanced decision support.

  • Strong client collaboration skills, including the ability to build and maintain relationships with clients, potentially C-level executives, and other data scientists

  • Hands-on experience with developing statistical and machine learning solutions, and familiarity with big data technologies.

  • Implementation of innovative, strategic, transformational, cross-functional analytic initiatives utilizing agile or lean methodologies.

  • In this role you will have the opportunity to interact directly with clients and will be required to travel for conferences/meetings.

Basic Requirements:


  • Master’s or PhD degree in quantitative disciplines such as Statistics, Economics, Operations Research, Data Science, or Mathematics with 4+ years of applicable experience.

  • Experience and demonstrated success in client-facing roles over a period of at least two (2) years.

  • Expertise in writing programs for data extraction, segmentation and statistical analysis on large Hadoop datasets using languages such as R, SAS, SQL, Hive, Python and Hadoop computing platforms. R/Python application development experiences a plus.  High level of familiarity with Microsoft Office tools.

  • Ability to effectively communicate complex ideas to both a technical and non-technical audience

  • Willingness to travel to client locations as needed.

  • Creative and inquisitive in nature, flexibility to learn and apply new methodologies.

  • Strong project management skills with the ability to manage multiple assignments effectively, set priorities and develop work plans, assemble project teams, structure and execute quantitative analyses, oversee support staff, and meeting deadlines.

Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.


We are committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to TalentAcquisitionTeam@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.

Please note that all Dun & Bradstreet job postings can be found at https://dnb.wd1.myworkdayjobs.com/Careers and all communication from Dun & Bradstreet will come from an email address ending in @dnb.com.