Data Scientist – Risk Analytics

Title: Data Scientist – Risk Analytics

Location: US National

REMOTE – UNITED STATES

DATA & ANALYTICS

EMPLOYEE: FULL TIME

REMOTE

Why We Work at Dun & Bradstreet

Dun & 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!

Role: Data Scientist, Risk Analytics

• 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.

At 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.

Since 1841, we’ve given companies the insight they need to realize their potential… and we can do the same for your career.

As an industry leader, we offer world-class compensation and an exceptional benefits package.

As well, you will enjoy an environment that recognizes and rewards your accomplishments.

D&B is an equal opportunity employer.

Benefits We Offer

• 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.

Pay Transparency

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.