Data Scientist

Recruiters please do not reach out to me, we want to hire this role directly.

#jobvacancy #jobopening #jobs #bangalore DataFrontier Innovations pvt ltd

Data Scientist (Early Career) Healthcare AI & Agentic Systems

Location: Bangalore (Hybrid)

Experience: 24 years

Company: DataFrontier Innovations Pvt. Ltd.

Email: careers@datafrontier.co

About DataFrontier

DataFrontier builds advanced AI, data engineering, and analytics systems that solve real-world, high-impact problems especially in healthcare and enterprise environments.

We are currently working on:

Falls prediction systems for elderly care using clinical and behavioral data

Agentic AI systems that automate workflows and decision-making

Production-grade data platforms handling sensitive, regulated datasets

If you want to build systems that actually get used not just models that sit in notebooks this role is for you.

Role Overview

We are looking for a hands-on Data Scientist who can work across the full lifecycle from data understanding to model deployment and is excited about applying AI in healthcare and automation.

This is not a pure research role. You will be building, shipping, and improving real systems.

What Youll Work On

Build and improve predictive models for falls risk using clinical, behavioral, and time-series data

Design features from messy real-world healthcare datasets (EHR, sensor data, logs)

Work on Agentic AI pipelines (LLMs + tools + workflows) to automate decision systems

Develop and test models like XGBoost, Random Forest, time-series models, and hybrid approaches

Collaborate with data engineers to build robust pipelines and feature stores

Implement model explainability (SHAP, feature importance) for clinical usability

Evaluate data quality and completeness for new customers (critical for healthcare deployments)

Work closely with product and clients to translate business problems into ML solutions

Required Skills

Strong fundamentals in Python (pandas, numpy, scikit-learn)

Experience with ML models (classification, regression, tree-based models)

Solid understanding of feature engineering and data preprocessing

Familiarity with SQL and working with structured datasets

Basic understanding of model evaluation metrics and validation techniques

Exposure to real-world datasets (not just Kaggle-level clean data)

Good to Have (High Impact)

Experience with healthcare data / EHR / clinical datasets

Exposure to LLMs / LangChain / agentic frameworks

Knowledge of time-series modeling

Experience with cloud platforms (AWS / GCP)

Understanding of data pipelines / ETL workflows

Familiarity with model deployment or APIs

What Were Looking For

Someone who can think, not just code

Comfortable working with unclean, incomplete, real-world data

Willing to own problems end-to-end, not just tasks

Curious about AI beyond standard ML especially agentic systems

Strong communication skills ability to explain models to non-technical stakeholders

What This Role Is NOT

Not a pure research role

Not a train model and forget role

Not limited to notebooks you will work on production systems

Why Join Us

Work on real healthcare impact problems

Exposure to international clients and deployments

Build next-gen systems in Agentic AI + predictive analytics

Small team high ownership and fast growth

How to Apply

Send your resume + 23 projects (GitHub / case studies) to:

careers@datafrontier.co

Subject: Data Scientist Early Career Application

If youre looking for comfort, this role is not for you.

If youre looking to build something meaningful, lets talk.