AVP - Data Scientist.

Aye Finance; Gurugram District; On-site; INR 600,000 - 900,000; Full time

Job summary

Aye Finance, based in Gurugram District, India, is seeking a data engineer to build end-to-end data pipelines for machine learning models and data-driven solutions. The ideal candidate should have high proficiency in Python and SQL, experience in data analysis, and familiarity with REST API development. This role involves working with automation solutions and managing data pipelines while using tools like Docker and GIT. A strong understanding of data management practices is crucial for success in this position.

Qualifications

• High proficiency in Python coding along with good knowledge of SQL.
• Experience in data analysis and structured/unstructured data acquisition.
• Knowledge of Python libraries including Pandas and SQLAlchemy.
• Experience in developing REST APIs and deploying them on cloud with Docker.

Responsibilities

• Building end-to-end data pipelines for ML models.
• Maintaining data pipelines including data cleaning and transformation.
• Developing data insight solutions for various teams.
• Creating automation solutions using Python and SQL.

Skills

Python coding

SQL

Data analysis

Docker

Linux

REST API development

Tools

Pandas

SQLAlchemy

Django

Flask

FastAPI

Git

Job description

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 for teams such as 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 install and configure software (related to data science and AI domain), create services, and basic shell scripting.
• REST API development and management using Docker and related cloud technologies.

Technical Skills

Must have

• High Proficiency in Python coding along with good knowledge of SQL (joins, nested queries, etc.)
• Data analysis experience; ability to identify data points and acquisition mechanisms for structured and unstructured data (text/json/xml) for machine learning pipelines.
• Knowledge of Python libraries such as Pandas, SQLAlchemy (or other Python SQL libraries), and optionally matplotlib, numpy, scipy, scikit-learn, nltk.
• Working knowledge of GIT repositories (Github, Gitlab, etc.)
• Experience in developing REST APIs using Django, Flask, FastAPI, etc. (highly appreciated) and deploying APIs on the cloud with Docker (highly appreciated).
• Hands‑on experience on Linux OS/platform to install software, Python packages, create services, build Docker containers, automate, and run code/scripts.

Data management skill sets

• Ability to understand data models and create ETL jobs using Python scripts.

Python scripts

• Automate regular data acquisition, application process, etc. using Python scripts.

Good to have (must be open to learning if doesn’t have already)

• Should be able to work on problems independently or with minimal support.
• Concept of big data and Spark (PySpark) knowledge.
• Cloud experience (AWS, Azure, GCP).