Roles & Responsibility
- Develop algorithms based on the problem statement & domain area.
- Create test data, write test scripts & test algorithms such that we can establish and certify decision boundaries & characteristics of the algorithms we deploy.
- Establish mathematical models to represent specific business functions or consumer behavior.
- Programming of algorithms, and integration into the Kvantum data science framework.
- Provide Support and add new features in a marketing performance analytics automation platform.
- Design & develop new algorithms for optimization, recommendation, attribution, and emerging real-time consumer analytics.
- Work on the scalability and performance of the automation platform.
- Create proof of concepts to vet out new technologies.
- Influence design and architecture principles for new technology products.
Skills & Experience
- 5+ years of work experience in data science and statistical modeling.
- Good understanding of Matrix Algebra, Statistics, or both.
- High level proficiency in SQL.
- Experience in Julia or Python (Pytorch, Tensorflow, DuckDB, Pyspark).
- Experience of working on large data.
- Team Handling and Client handling experience.
Nice to Have:
- Exposure or working knowledge in building Data Science simulation tools.
- Understanding of package development and standalone deployment of Julia based software.
- Knowledge of Linux and machine learning algorithms & tools.
- Exposure to Kalman Filters, Wavelets, or other DSP techniques