Data Scientist (R-13393)

Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!

The Data Scientist will develop econometrics, geospatial, time series and ML-based solutions that provide insight into solving commercial and public sector customer problems.
The Data Scientist will prepare drafts of publication quality economic and technical reports, commentaries and visualizations based on analysis of micro and macroeconomic data
The Data Scientist will contribute and collaborate with engineers and operations towards scalability and automation of such analytic solutions.
The Data Scientist will provide leadership and technical expertise to manage project deliverables in statements of work that adhere to timelines.  
The Data Scientist will communicate analytical results in terms that are meaningful to business managers and senior leadership internally and externally.
The Data Scientist will engage with clients to identify their business needs and develop, implement, and manage solutions from ideation to production.
The Data Scientist will develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects; drive timely retrieval of analytics data from existing system to create algorithms that meet business needs
The Data Scientist will assist in the Implementation of innovative, strategic, transformational, cross-functional analytic initiatives utilizing latest analytics techniques.

Position Requirements

• Advanced degree (MS with 2 years’ experience) or Ph.D. in quantitative disciplines such as Economics, Statistics, Data Science or Mathematics. Any work experience is a plus.
• Expertise in Program Evaluation, Economic Impact Assessment, Causal Inference and Spatial modeling is required.
• Strong programming (Python/Pyspark/Scala/R) skills with the ability to apply common procedures and data manipulations and learn new procedures when necessary.
• Ability to query, process, and analyze large datasets.
• Experience in forecasting, simulation, and economic scenario-building via ML techniques or CGE (Computable General Equilibrium) modeling is required.
• Experience or willingness to learn network analysis and graphical databases, causal inference, and deep learning sequence modeling.
• Experience with deriving quantitative economic attributes/insights from non-structured or semi-structured data (e.g., free text) is a plus
• Strong client collaboration skills, including the ability to build and maintain relationships with clients, potentially C-level executives
• Strong communication abilities (including writing) with ability to effectively communicate complex ideas to both a technical and non-technical audience

Equal Employment Opportunity (EEO): 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.  View the EEO is the Law poster here and its supplement here. View the pay transparency policy here.
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