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Senior Data Scientist
4 weeks ago
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).
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