Dun & Bradstreet

Data Scientist (R-12120)

Remote - United States

The job ad is older than 1 month and may no longer exist.

Job's description

Why We Work at Dun & BradstreetDun & 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!
As a Data Scientist in the Advanced Analytic Services Team, you will be required to have the following background education and experience and the ability to fulfill the following essential responsibilities.

Essential Responsibilities:

  • Develop novel solutions to market-driven problems using knowledge of the latest NLP techniques and ML techniques, rigorous statistical analysis, and practical experience on previous data science projects.
  • Collaborate with internal and external stakeholders (external customers, other D&B data scientists, sales team members, business unit product leaders and development teams) to understand business needs and technical requirements through direct, external consultative customer engagements as well as proof-of-concept implementations for products
  • Participate and support other teams as needed for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
  • Research complex business issues and recommend solutions, including customer data input requirements, other required data sets, modeling approaches, and end products
  • Enjoy and share academic literature, technical developments, and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases, and provide input into go to market strategy.

Experience Needed

  • Ph.D. or Masters in a quantitative / applied field (Engineering, Data Science, Computer Science, Operations Research, Mathematics, Analytics). Strong academic profile.
  • Experience of operating successfully in data science/engineering roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives, basic experience applying Natural Language Processing (NLP) models
  • Strong programming skills and modeling experience using Python
  • Strong SQL skills and experience working with large (big) datasets
  • Experience applying modern machine learning techniques
  • Strong collaboration skills, including the ability to build and maintain relationships with internal and external stakeholders/clients
  • Knowledge of key data science concepts and best practices
  • Experience in model implementation, continuous integration and continuous deployment is an advantage
  • Ability to effectively communicate complex ideas to both a technical and non-technical audience
  • Creative and inquisitive in nature, flexibility to learn and apply new methodologies
FOR US APPLICANTS - 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 and its supplement here. View the pay transparency policy here.
We are committed to Equal Employment Opportunity and providing reasonable accommodations to qualified candidates and employees. 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.

Apply to position

© Copyright 2022 remotemachinelearning.com. All Rights Reserved.