Data Science-python

**Job Category**:Data Science

**Job Type**:Full Time

**Job Location**:AgraNoida

**Total Openings**:1

**Exp Level**:4+

**Who is Kvantum?**

Kvantum (Acquired by Yum Brands, Inc.) is an artificial intelligence-based consumer insights and marketing performance analytics business focused on deploying proprietary algorithms and machine-learning models to help brands understand consumer behavior and make informed media and calendar decisions. Kvantum serves mainly internal clients around the globe (Yum & it’s Brands, as well as Franchisees) and serves select external Fortune 100 clients, as well.

**What you’ll be doing in your new job**:

- 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.

**For this position, you are mandatory to have**:

- 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
- Understanding of package development and standalone deployment of Python or Julia based software.
- Exposure to Generative Models, Variational Auto-Encoders, NLP algorithms and evolutionary algorithms is a plus.
- Experience of building dashboards on Power BI or Tableau.

**Relevant to have**:

- Minimum Graduate in Computer Science, Applied Maths, Quantative/Computational Economics field.
- Quick Learner, Team Player, Adaptable and Keen to explore new technologies.