Data Scientist (R-17065)

Key Skills

Aartificial intelligence, Data science techniques, Machine learning techniques, Microsoft Office suites, PySpark, Python Programming, SQL, Writing

Job Description

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! Learn more at dnb.com/careers.

The Data Scientist position on our Analytics team is an exciting role that utilizes a mix of deep analytical skills, financial industry knowledge and client/stakeholder relationship management to build tools and analytics products.

We are looking for a Data Scientist with an advanced degree willing to expand their experience level and skill set.

We welcome creative and inquisitive individuals with the flexibility to learn, apply new methodologies and provide best business solutions to our clients.

Requirements:

• Ph.D. or Masters in a quantitative / applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering) with 3+ years of applicable experiences.
• Strong knowledge and experiences Machine Learning and AI and its application.
• Strong programming skills with the ability conduct research utilizing Python, PySpark and other tools to manipulate data and conduct statistical analysis.
• Strong SQL skills and experience.
• Strong client collaboration skills, including the ability to build and maintain relationships with clients.
• Ability to effectively communicate complex ideas to both a technical and non-technical audience.
• Strong knowledge of MS office tools.

Essential Responsibilities

• Work with decision-makers across the company or external clients to understand their business goals, identify opportunities to use data and analytics to develop new insights, and to improve business results.
• Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.
• Validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary.
• Grow into a Subject Matter Expert over time on predictive models within the Analytics team and with business users; consult with the business, as appropriate, on predictive modeling solutions.
• Partner with internal D&B team to develop new business solutions in risk analytics.
• Experience managing multiple projects to meet challenging timelines.

Preferred Qualifications

• Strong business acumen, especially in Financial Services Industry Experience in underwriting, risk, statistical modeling roles.
• Experience working with very large datasets.
• Experience applying modern machine learning techniques.
• Solid understanding of machine learning and explainability.
• Strong technical writing skills.

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 Wellhub membership rates.
• Medical, dental & vision insurance for you, spouse/partner & dependents.
• Learn more about our benefits: http://bit.ly/41Yyc3d.

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

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