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·     The Data Scientist, Risk Analytics will create innovative approaches to statistical data modeling and analytics by using Natural Language Processing on unstructured/alternative data sources to enhance the business failure risk as well as business fraudulent risk.

·       Support the development of new proof-of-concepts for D&B’s risk analytics products in our Analytics Studio (a cloud-based analytics platform where clients can test the new products). 

·       Work with internal / external D&B clients and stakeholders to identify their business needs and opportunities, to develop, implement, and manage solutions, and to improve business results.

·       Establish and maintain strong relationships with key business stakeholders.

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

·       Research complex business issues and recommend solutions, including model inputs and end products.

·       Serve as a Subject Matter Expert on predictive models within the Advanced Analytic Services team and with business users; consult with the business, as appropriate, on predictive modeling solutions.

·       Validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary.

·       Develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects; and drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs.

·       Manage multiple assignments, many of which with challenging timelines, both working independently and collaborating effectively in a team environment.

·       Partner with internal D&B team to develop new business solutions in risk analytics.

Requirements:

• Master’s degree in Statistics, Mathematics, Economics or a related quantitative field (U.S. or foreign degree equivalent) plus three (3) years of experience in advanced statistical and data analytics or a related role.
• Prior experience must also include three (3) years of experience in/with: PySpark, Python and SQL for Big Data Mining and building innovative predictive algorithms; Web/Cloud Analytics; AWS and Azure cloud based platforms, specifically using various UI/editors to write code and/or implement Machine Learning Models within these platforms; experience with building Credit Risk Models in Python and/or PySpark; commercial finance data; and communicating complex ideas to both a technical and non-technical audience.
• Prior experience must include one (1) year of experience in/with Natural Language Processing and parsing textual datasets.
• May work from home from any location in the U.S. or from any Dun & Bradstreet office in the U.S. 

· Generous paid time off in your first year, increasing with tenure.

· Up to 16 weeks 100% paid parental leave after one year of employment.

· Paid sick time to care for yourself or family members. 

· Education assistance and extensive training resources.

· Do Good Program: Paid volunteer days & donation matching.  

· Competitive 401k & Employee Stock Purchase Plan with company matching. 

· Health & wellness benefits, including discounted Gympass membership rates.

· Medical, dental & vision insurance for you, spouse/partner & dependents.

· Learn more about our benefits: http://bit.ly/41Yyc3d.

Dun & Bradstreet is an equal employment opportunity employer and believes in honesty and transparency in the employment hiring process, including pay transparency. Accordingly, listed on this posting is a good faith reasonable estimate of the salary range and other compensation in the job posting, as of the date of this posting.  Actual compensation decisions for base salary and other compensation will be dependent upon a wide range of factors including but not limited to: an individual’s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B’s generous benefit package, outlined above.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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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