Data Science Specialist

Full-time

Bangalore – On-site

1 to 6 years (but mindset > experience)

Job Description

We're looking for a mission-driven, hands-on Data Analytics Specialist who is not just technically sharp, but obsessed with impact. This is not your average analytics role. You'll be driving the metrics that run the business — from clinical operations to stakeholder reporting to automation.
You'll work closely with leadership, radiologists, operations, product teams, and AI engineers to ensure every decision we make is data-backed, actionable, and scalable. If you're the kind of person who finds excitement in building dashboards, triggering automations, rewriting messy pipelines, and helping the company grow through deep insights — this is your playground.

Own and Drive Business KPIs: Take complete ownership of company-wide metrics; proactively align with stakeholders to ensure accuracy, relevance, and actionability.
Data Engineering: Build and optimize robust pipelines (ETL/ELT) across Postgres, ClickHouse, and other data sources.
Dashboards & Reporting: Design and maintain intuitive, powerful dashboards (e.g., Metabase, Power BI, Tableau, Google Data Studio) that stakeholders love to use.
Backend Data Transformation: Write clean, reusable code to transform raw data into production-grade insights.
API Creation: Build and maintain internal APIs to serve analytics outputs to frontend and production systems.
Email Automation: Create dynamic, real-time insights and scheduled updates through email reports for various stakeholders.
Spreadsheet Mastery: Manipulate and automate complex data in spreadsheets (Excel/Google Sheets) for both deep-dive analysis and reporting.
AI & Automation: Work with AI models and predictive algorithms to bring automation into analytics and operational workflows.
Business Understanding: Deeply understand our teleradiology ecosystem—clinical flow, operations, financials, tech platform—and speak the language of every team you work with.
Proactive Collaboration: Don't wait to be told. Identify data gaps, flag inconsistencies, suggest product tweaks, and work shoulder-to-shoulder with leadership.

Strong foundation in Python for data analytics (Pandas, NumPy, FastAPI, Jupyter, etc.)
Solid understanding of SQL (ClickHouse, PostgreSQL) and experience designing queries for performance
End-to-end ownership of dashboards — from data model to frontend display
Experience building or working with APIs for analytics
Strong knowledge of spreadsheet tools and formula-driven reporting
Experience working with AI/ML models for real-world applications (preferred)
Hands-on experience with backend data transformations, versioning, and automation
Working knowledge of frontend/backend frameworks, preferably in a full-stack environment

10x Hustler: Willing to go the extra mile to solve a business problem, even if you have to learn the tool that day
Obsessed with Accuracy: You don't ship unless the numbers make sense, no matter what
Extreme Ownership: You don't wait to be asked. You drive results.
Fast Learner: You may not know everything, but you can pick up anything in a few days
Business First, Code Later: You understand that the goal isn't just dashboards — it's impact

Work at the heart of India's fastest-growing teleradiology platform
Direct access to leadership and real-world decision-making
Opportunity to build game-changing analytics systems and shape the business strategy
Learn AI, automation, product, and ops – all in one role
Clear 3-month ramp-up roadmap and growth plan