HomeData Science JobsDun & Bradstreet | is Hiring | Walk-In Interview - Data Scientist...

Dun & Bradstreet | is Hiring | Walk-In Interview – Data Scientist | BigDataKB.com | 2022-04-05

Job Location: Chennai

Key Skills

Risk Analytics, Regression Modeling and Validation, Credit Risk Scorecard development, Probability of Default (PD) Models, Logistic Regression, Cluster Analysis, Machine Learning techniques, Random Forest, Gradient Boosting.


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Dun & Bradstreet Technologies & Data Services is looking for Data Scientist /Senior Data Scientist candidate to support Risk Analytics team. The candidate needs to work closely with the team based out of Chennai and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis.

Primary Responsibilities Include but Are Not Limited To

  • Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple customer analysis
  • Generate Analytical Insights on various customer portfolios
  • Develop Predictive Solutions using advanced statistical techniques to enable better decision making for customers across industries
  • Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP and development of new capabilities
  • Serve as a Subject Matter Expert on using Machine Learning techniques to various business solutions
  • Collaborate with Technology teams to implement analytical solutions and models that integrate data from diverse sources
  • Work with internal and external stakeholders in providing additional analysis based on specific needs
  • Deliver analytical solutions under limited direction and take individual ownership
  • Adherence to Internal or Customer Specified Quality and Timeliness Standards

Required / Desirable Skills

  • A minimum of 2 years of Analytics experience in Data Science roles
  • Advanced degree (Masters) in a quantitative discipline, e.g., Economics, Statistics, Actuarial, Mathematics, or Finance.
  • Strong programming skills in using tools such as Pyspark, Python, R, Scala, SQL or SAS to manipulate data and conduct statistical analysis
  • Candidate should be strong in Data handling/Data manipulation using Python(Pandas/NumPy), Should know how to write functions, error handling in python
  • Should be good at writing SQL queries.
  • Sound Knowledge and proven experience on application of Statistical / Machine Learning Techniques and explainability
  • Experience in visualization tools like Tableau/Power BI is desirable
  • Ability to interpret and translate data into meaningful business insights
  • Excellent verbal, written communication and presentation skills.
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