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Dun & Bradstreet | Jobs | Data Scientist /Senior Data Scientist | BigDataKB.com | 10-02-22

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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.

Overview

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 3 years of Analytics experience in Data Science roles
  • Advanced degree (Masters) in a quantitative discipline, e.g., Economics, Statistics, Actuarials, 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
  • 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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