Data Scientist
Dun & Bradstreet
ICC Chambers 2, Mumbai, India
2d ago

Why We Work at Dun & Bradstreet

We are at a transformational moment in our company journey - and we’re 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 & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose.

So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!

  • JOB DESCRIPTION :
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A / B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Statistics and Econometrics Techniques : Regression, Predictive Modeling, Time Series Analysis, Hypothesis Testing, Machine Learning Techniques
  • Databases : Bloomberg, Haver, DataStream and public databases
  • Qualifications for Data Scientist

  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, pyspark, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
  • and their real-world advantages / drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
  • and experience with applications.

  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with more than 10 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
  • Or M.Sc. Financial Economics / M.A. General Economics / Informatica.

    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.

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