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b'\n\t\t\tTitle:\xc2\xa0Data Scientist \xe2\x80\x93 Risk Analytics\nLocation:\xc2\xa0US National\nREMOTE \xe2\x80\x93 UNITED STATES\nDATA & ANALYTICS\nEMPLOYEE: FULL TIME\nREMOTE\nWhy We Work at Dun & Bradstreet\nDun & 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!\nRole: Data Scientist, Risk Analytics\n\nThe 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.\nSupport the development of new proof-of-concepts for D&B\xe2\x80\x99s risk analytics products in our Analytics Studio (a cloud-based analytics platform where clients can test the new products).\nWork 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.\nEstablish and maintain strong relationships with key business stakeholders.\nParticipate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.\nResearch complex business issues and recommend solutions, including model inputs and end products.\nServe 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.\nValidate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary.\nDevelop 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.\nManage multiple assignments, many of which with challenging timelines, both working independently and collaborating effectively in a team environment.\nPartner with internal D&B team to develop new business solutions in risk analytics.\n\nRequirements:\n\nMaster\xe2\x80\x99s degree\xc2\xa0in Statistics, Mathematics, Economics or a related quantitative field (U.S. or foreign degree equivalent) plus\xc2\xa0three (3) years of experience\xc2\xa0in advanced statistical and data analytics or a related role.\nPrior 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.\nPrior experience must include one (1) year of experience in/with Natural Language Processing and parsing textual datasets.\nMay work from home from any location in the U.S. or from any Dun & Bradstreet office in the U.S.\n\nAt D&B we value the diversity of perspectives that result from a variety of life experiences: ethnicities, ages, sexual orientations, genders, and other factors. Ours is a winning culture where we work together as a team with a clear focus on common goals and where team members are able to grow, develop and contribute to their fullest.\nSince 1841, we\xe2\x80\x99ve given companies the insight they need to realize their potential\xe2\x80\xa6 and we can do the same for your career.\nAs an industry leader, we offer world-class compensation and an exceptional benefits package.\nAs well, you will enjoy an environment that recognizes and rewards your accomplishments.\nD&B is an equal opportunity employer.\nBenefits We Offer\n\nGenerous paid time off in your first year, increasing with tenure.\nUp to 16 weeks 100% paid parental leave after one year of employment.\nPaid sick time to care for yourself or family members.\nEducation assistance and extensive training resources.\nDo Good Program: Paid volunteer days & donation matching.\nCompetitive 401k & Employee Stock Purchase Plan with company matching.\nHealth & wellness benefits, including discounted Gympass membership rates.\nMedical, dental & vision insurance for you, spouse/partner & dependents.\nLearn more about our benefits: http://bit.ly/41Yyc3d.\n\nPay Transparency\nDun & 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\xe2\x80\x99s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B\xe2\x80\x99s generous benefit package, outlined above.\nAll 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.\n\t\t'