Position Details: Data Scientist

Description:

Core Responsibilities (All Levels):

• Build and validate predictive and optimization models for workforce analytics (attrition, performance, career progression) using techniques such as classification, regression, clustering.

• Develop recruitment analytics, workforce planning, and executive dashboards.

• Support data cleaning, exploratory analysis, and feature engineering.

Develop SQL queries for data extraction and transformation.

• Apply NLP for sentiment analysis, resume screening, and chatbot development.

• Automate HR processes using ML, OCR, and Document AI.

• Document methodologies and maintain code in version control
• Assist in developing modular Python code and reusable functions; learn to transition prototype code from experiment notebooks to production-ready modules.

• Deliver data science projects end-to-end: stakeholder engagement to deployment.

• Collaborate across technical and business teams, including clients.

• Travel as required by project needs.

Responsibilities:

• Independently deliver analytics solutions and lead/manage assigned technical workstreams.

• Partner with data engineering teams to design and implement data pipelines.

• Build production-grade ML models and deploy them to cloud environments.

• Develop reusable code libraries and modules for team use.

• Liaise with clients, gather requirements, and translate into data science use cases.

• Mentor junior team members.

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