Sr. Manager - Data Scientist.

Roles and Responsibilities:

• Building end-to-end data pipelines for ML models, other data driven solutions such that the pipeline is directly usable for deployment/implementation.
• Building and maintaining data pipelines: data cleaning, transformation, roll-up, pre-processing, etc.
• Building/developing data insight solutions various teams like Credit, Collections, Distribution, Vigilance, HR, etc.
• Building automation solutions using Python, SQL, Docker, etc. as required.

Technical Skills Must have:
Primary skill set:

• High Proficiency in Python coding along with good knowledge of SQL (joins, nested query, etc.)
• Data analysis experience. Understand and identify the data points and data acquisition mechanism for structured and unstructured data (text/json/xml) for machine learning data pipeline.
• Knowledge of using Python Libraries such as Pandas, sqlalchemy (or other Python SQL related libraries), [good to have: matplotlib, numpy, scipy, scikit-learn, nltk].
• Working knowledge of GIT repositories (any of the Github, Gitlab etc.)

Data management skill sets:

• Ability to understand data models and create the ETL jobs using Python scripts.
• Automate regular data acquisition, application process etc. using Python scripts.

Web API technology:

• Experience in Rest API developments using any of Django, Flask, FastAPI etc. (this will be highly appreciated)
• Deployment of web API on cloud using Docker (this will be highly appreciated).

Other useful skills:

• Working knowledge of Linux. (this will be highly appreciated).
• Should be able to work on problems independently or with less support
• Concept of bigdata and Spark (PySpark) knowledge
• Cloud experience (AWS/Azure/GCP)