Data Science Role - Internet/Online

Role Expectations:

- Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, and anomalies, and quantify business results.

- Ability to perform data discovery tasks and work with large data sets.

- Apply Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimization and improvement across business functions.

- Work with data scientists to refine Machine Learning (ML) model and scale it up

- Effectively communicate the analytics approach and how it will meet and address objectives to business partners.

- Ability to work collaboratively with cross-functional teams to improve outcome of Research projects/BD activities/Product development/Projects execution.

Qualifications :

- A Bachelor's or Master's in computer science or related disciplines (including Math/Statistics), with at least 2 years of relevant work experience (Must have).

Skill Expectations :

- Experience building production ML pipelines for model training/prediction in Python and R.(Must have).

- Experience working with open-source ML libraries such as Sklearn, Pandas and TensorFlow(Must have).

- Create and maintain ML model training/prediction pipelines in production\Create re-usable tools and frameworks for ML model deployment and monitoring.

- Experience working with large data sets, coming from varied sources (Must have).

- Experience with both object-oriented and functional programming concepts (Must have).

- Good knowledge of MS productivity tools (Must have).

- Working knowledge of visualization tools (e.g. Tableau/Power BI etc.) (Good to have).

- Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon etc.) (Good to have).

- Familiarity with data engineering tools (Spark/Kafka etc.) (Good to have)