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Dun & Bradstreet

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3.3

based on 306 Reviews

60 Dun & Bradstreet Jobs

Senior Analyst, Data Science

DUN BRADSTREET INFORMATION SERVICES INDIA PRIVATE LIMITED

3.3

based on 306 Reviews

4-7 years

Chennai

1 vacancy

Senior Analyst, Data Science

Dun & Bradstreet

posted 6hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Data Analytics Python Automation Testing Analytical Chemistry HTML

+ 4 more

Job Description

As an Econometrician focused on Dun & Bradstreet s Public Sector Advanced Analytics team, you should love tackling hard problems utilizing econometric and ML approaches using large datasets. You should be willing to learn new methods and technology, while serving as an expert in your respective domain.

Key Skills

Strong Analytical and Problem-Solving Skills, Statistical Modelling, Data Analysis, Macro Economic Modeling, Machine Learning etc.,

Primary Responsibilities Include but Are Not Limited To

Help development of solutions that provide global or country-specific econometrics and time series insights that address and solve public sector customer problems.
lowing precise methodological guidelines.
Develop approaches that leverage econometric, time series and ML methods blended with economic theory covering topics including but not limited to causal inference, climate risk and spatial economics for use as products.
Preparing drafts of publication quality economic reports/commentaries/papers based on public sector data science solutions, also contribute towards scalability and automation of such reports.
Communicate analytical results in terms that are meaningful to business managers and senior leadership internally and externally.
Participate in all aspects of ongoing modeling engagements, including design, development, validation, calibration, documentation, approval, implementation, monitoring, visualization, and reporting.
Develop a working knowledge of how current systems and data sources are used in existing predictive modeling projects; drive timely retrieval of analytics data from existing system to create algorithms that meet business needs.

Requirements

4 to 7 years of experience with a degree in Economics, Econometrics, Statistics, or Mathematics, with a quantitative specialization
Programming (Python/Pyspark ) skills are required.
Comprehensive knowledge of econometric, time series and ML modeling. Hands-on experience with topics such as causal inference, climate risk modeling and spatial economics is a plus.
Ability to work on an interdisciplinary and cross-functional team.
Strong collaboration and communication abilities (including writing) and project management skills.
Ability to effectively communicate complex ideas to both a technical and non-technical audience.

Employment Type: Full Time, Permanent

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