Senior Data Scientist - Big Data Technologies

Job Description : Title : Senior Data Scientist Experience : 8 t0 12 years Location : Bangalore Role And Responsibilities : - Build, evaluate, and maintain propensity models at scale - Write production-level code that integrates seamlessly into already productized model building pipeline - Develop and implement new machine learning techniques to improve performance of client facing models in production - Automate model surveillance and maintenance in order to streamline modeling system - Research and develop new use cases for NMC data assets - Support the business and client teams by investigating complex analytical challenges - Stay up to date on industry changes to digital measurement (e.g., new devices and platforms, privacy laws updates, changes in browser/app measurement, etc.) and critically assess how it would impact Nielsen measurement. - Engage in discussions on strategic direction of product from a client perspective. - Stay informed of new research and developments in the field - Confidently represent Data Science methods and approaches to internal and external partners and clients. - Participate in internal and external knowledge exchanges (conferences, workshop webinars). Skills Required : 3 - 5 years of work experience focusing on the following : - Creating, organizing, analyzing, and correcting very large datasets using statistical models - Coding in data science-related programming languages; required experience with Python (numpy, pandas, sci-kit learn, etc.) - Proficiency in SQL & big data technologies. - Leading and managing complex projects with multiple stakeholders. - Excellent communication & presentation skills (written and verbal). - Experience in media or marketing analytics, e.g. lookalike modeling, insights analysis, customer segmentation. - Ability to work independently and solve complex problems. - Naturally curious, has a passion for solving problems and critical thinking. - Good vibes, integrity, and good work ethic. Must Have : - Experience with online media and the ad tech ecosystem. - Experience working with global cross-functional teams of various sizes. - Experience with machine learning techniques. - Experience working with cloud-based computing and storage solutions, preferably AWS. - Working knowledge of Bash and Git. - Experience with other tools common to the data science world such as Airflow, Spark, MLlib, MLflow, Tensorflow, and PyTorch. - Experience with data visualization tools (e.g. Superset). (ref:hirist.tech)

Location: Bangalore, IN

Posted Date: 4/29/2024