Analyst Ii, Data Science

3 weeks ago

Chennai, Tamil Nadu, India Dun & Bradstreet Full time

Chennai - IndiaTechnology Employee Full Time HybridWhy We Work at Dun BradstreetDun Bradstreet unlocks the power of data through analytics creating a better tomorrow Each day we are finding new ways to strengthen our award-winning culture and accelerate creativity innovation and growth Our 6 000 global team members are passionate about what we do We are dedicated to helping clients turn uncertainty into confidence risk into opportunity and potential into prosperity Bold and diverse thinkers are always welcome Come join us Learn more at Summary 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 Responsibilities 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 2 to 5 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 All Dun Bradstreet job postings can be found at and Official communication from Dun Bradstreet will come from an email address ending in dnb com Notice to Applicants Please be advised that this job posting page is hosted and powered by Lever Your use of this page is subject to Lever s and which governs the processing of visitor data on this platform

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