• United States Of America, Usa
  • Save Job
  • 0 - 3 Years
  • Posted : above 1 month

Job Description:

Why We Work at Dun & Bradstreet

We are at a transformational moment in our company journey - and were so excited about it Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth Our purpose is to help customers improve business performance with Dun & Bradstreets Data Cloud and Live Business Identity, and were wildly passionate and committed to this purpose So, if youre looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!

As a Principal, Machine Learning Scientist, you will leverage applied machine learning concepts, including supervised learning, reinforcement learning and ensemble methods, for the development of new solutions and to drive business growth for Dun & Bradstreet You will work within our analytical environment and tools for learning new concepts and being on the cutting-edge

You will incorporate natural language processing (NLP) and feature engineering methods to curate, transform and create new features from unstructured data for modeling and solutions development

Key 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


Masters or PhD in a quantitative / applied field (Statistics, Computer Science, Informatics, Operations Research, Applied Mathematics, Engineering)
5 or more years experience operating in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives and development of analytical products and solutions
Experience applying supervised machine learning methods (ensemble and reinforcement learning is a plus) and natural language processing (NLP)
Strong knowledge of statistical concepts and probability theories, neural network, boosting methods, hyper parameter tuning
Strong programming skills and modeling experience utilizing Python/ PySpark (R/ SparkR is a plus)
Strong SQL skills while working with big data and solid knowledge of Spark environment, execution and machine learning model implementation
Experience working with internal and outside clients while applying agile methodologies
knowledgeable of Machine Learning models and explainability

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

We are 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 TalentAcquisitionTeamdnbcom Determination on requests for reasonable accommodation are made on a case-by-case basis

Please note that all Dun & Bradstreet job postings can be found at https//dnbwd1myworkdayjobscom/Careers and all communication from Dun & Bradstreet will come from an email address ending in dnbcom

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Research/Surveyor/MR
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 19th Jul 2020

Key Skills:

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