AVP - Data Scientist

5 days ago

Gurgaon, Haryana, India Aye Finance Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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.


• Database management and automation.


• Working experience on Linux server to installation and configuration of software (related to data science and AI domain), service creation, basic shell scripting etc.


• Rest API development and development/management using Docker and related cloud technologies.

Technical Skills

Must have


• Primary skill set:


• High Proficiency in Python coding along with good knowledge ofSQL(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.)


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


• Hands on experience on Linux OS/platform to install software, Python packages, create services, docker creation, automate and run the code/script.


•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.

Good to have (must be open to learning if doesnt have already)


• Other useful skills


• Should be able to work on problems independently or with less support


• Concept of bigdata and Spark (PySpark) knowledge


• Cloud experience (AWS/Azure/GCP)

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