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Principal Data Scientist at Dun & Bradstreet in Florham Park, New Jersey

Posted in Science 30+ days ago.

Type: Full-Time





Job Description:

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 6,500+ 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 .

We are seeking a Principal Data Scientist to join an accomplished team.

May telecommute three (3) days per week from within Florham Park, NJ area.

Responsibilities:

  • Apply machine learning unsupervised and supervised methods, natural language processing methods to develop custom models, new analytical solutions and capabilities.
  • Create new solutions leveraging deep machine learning and AI experience while working both with structured and unstructured data.
  • Analyze internal raw and structured data, investigate alternate data sources by discovering patterns utilizing data engineering, data mining and visualization components to support business needs.
  • Create libraries, packages, new analytical solution and models while working with internal teams on implementation of capabilities within analytical platforms.
  • Research complex business issues and recommend solutions, including model inputs, model design frameworks, and end products that drive innovation for the company.
  • Requirements:

  • Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field (foreign degree equivalent acceptable) and five (5) years of experience in the job offered or an advanced statistical and data analytics role.
  • Prior experience must include (5) years in/with: Data analysis and data mining using univariate distribution, bivariate analysis, and descriptive statistics; development and delivery of analytical products and solutions; supervised machine learning methods and natural language processing; statistical concepts and probability theories; neural network, boosting methods and hyper parameter tuning; programming and data modeling using Python and PySpark; working with large datasets and risk models using SQL; developing and implementing machine learning models in a Spark environment.
  • Prior experience must include three (3) years in/with: Model validation and computing model performance statistics including ROC, KS and Gini coefficient; working with cross-functional stakeholders using agile methodologies.
  • #LI-DNI

    #IND-DNS

    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 .

    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.

    Notice to Applicants : Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy , which governs the processing of visitor data on this platform.

    Equal Employment Opportunity (EEO): 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. View the EEO is the Law poster here . View the pay transparency policy here .

    Dun & Bradstreet is 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 AcquisitionT@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.





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