Sr. Analyst, Data Science
1 month ago
Primary Responsibilities Include but Are Not Limited To
Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, Monitoring, and Reporting. Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis. Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables. Work on MLOps frameworks to deploy, monitor and validate ML models in real time. Work with multiple teams such as Data Supply, Product, Governance, PMO, Technology to implement analytical solutions and models.
Requirements
4 to 6 years of relevant experience in Data Analytics / Data Science roles. Strong programming skill in tools such as Pyspark, Python, SQL to manipulate data and create deployable production code. Knowledge of Python packages and tools. Sound Knowledge and exposure to application of Statistical / Machine Learning Techniques. Experience in building and optimizing data pipelines, architectures and data sets. Creating API solutions and performing testing of API based products. Ability to interpret and translate data into meaningful business insights. Excellent verbal, written communication and presentation skills. 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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