Data Scientist (R-17845)

Dun & Bradstreet
Florham Park, NJ

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! Learn more at dnb.com/careers .

As a Data Scientist, you are expected to have the below qualifications and to fulfill the following responsibilities:

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Responsibilities
  • Convert internal and clients’ business cases into a machine learning framework.
  • Find the right technique, run full ML development cycle.
  • Clearly explain and defend results of your work to technical audiences and in laymen’s terms.
  • Independently identify business needs, generate ideas on how to address them.
  • Efficiently balance independent work with team collaboration.
  • Be able to run several projects in parallel.
  • Be proficient in managing your time to meet deadlines.
  • Be ready to do what it takes to deliver.
  • Work jointly with cross-functional business units.
  • Stay abreast of academic research and industry best practices.
  • Share your knowledge across the team. Learn from others.

Education:
  • Bachelors degree is required.
  • Advanced degree in physics, math, computer science or similarly quantitative field - Preferred.
  • Doctorate physics, math, computer science or similarly quantitative field - Preferred.

Qualifications needed:
  • Full proficiency of ML development cycle: data gathering and transformation experimenting, training, tuning and testing productionalization, deployment and inference monitoring and retraining.
  • Experience operating successfully in data science roles, especially as a member of cross-functional teams.
  • Experience with solving broad range of analytic problems utilizing supervised/unsupervised learning, NLP, graphs, unstructured data analysis, Gen AI/LLM.
  • Intellectual honesty and common sense.
  • Comfort with ambiguity and pressure of fast paced environment.
  • Strong data engineering skills to independently overcome common bottlenecks and friction points.

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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 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: .

All Dun & Bradstreet job postings can be found at and . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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Equal Employment Opportunity (EEO) : Dun & Bradstreet provides equal employment opportunities to applicants and employees 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. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found . We participate in E-Verify - The current poster can be found .

Accommodations information for applicants with disabilities : Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to [email protected] to let us know the nature of your accommodation request and your contact information.

Posted 2025-09-14

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