Data Scientist

As a Data Scientist in the Advanced Analytic Services team, you will be required to have the following background education and experience and the ability to fulfill the following essential responsibilities.  We also list preferredqualifications that are not required but would be beneficial. Basic Requirements Ph.D. with 1 + years of experience or (Masters + 4 yrs of relevant experience) in a quantitative / applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering).  Good academic credentials. Strong programming skills and modeling experience utilizing Python, R and/ or SAS Strong SQL skills and experienceworking with large (big) datasets Strong client collaboration skills, including the ability to build and maintain relationships with clients Ability to advise team on the innovative methodologies, data science tools and environments. Knowledge of evolving data science concepts and best practices including big data, NLP, graph analysis, non-regressive methods, and unstructured data synthesis Ability to effectively communicate complex ideas to both a technical and non-technical audience Strong knowledge of MS office tools Creative and inquisitive in nature, flexibility to learn and apply new methodologies Essential Responsibilities Engage clients with the D&B colleagues to identify their business needs and develop, implement, and manage solutions 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 Develop Global Analytic Solutions inclusive but not limited to statistical models based on D&B's established best practices, methodologies, and tools. 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. Keep up with academic literature and industry best practices.  Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business case, and go to market strategy. Validate the performance of existing quantitativerisk models and recommend changes when necessary Develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects; Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs Ability to manage multiple assignments, many of which with challenging timelines Ability to work independently, as well as collaborate effectively in a team environment Preferred Qualifications Experience working with very large datasets  Experience in feature engineering, network analysis or NLP Experience working with outside clients on statistical engagements Ability to program in other statistical analysis languages Experience applying modern machine learning techniques Strong technical writing skills 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  Determination on requests for reasonable accommodation are made on a case-by-case basis. 03925
Salary Range: NA
Minimum Qualification
Less than 5 years

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