Data Scientist- R Programming_4+yrs

Actively Reviewing the Applications

Zorba AI

India Full-Time On-site INR 11–19 LPA

Posted 6 hours ago • Apply by June 3, 2026

Job Description

A fast-growing IT consulting and analytics services firm operating in the Data Analytics & Business Intelligence sector, delivering end-to-end data products and predictive solutions for enterprise clients across finance, retail, and healthcare. We build production-grade statistical models and analytics dashboards that turn raw data into actionable insights and measurable business outcomes.

We are hiring an on-site Data Scientist (R) to join a client-facing analytics team based in India to lead model development, deployment, and stakeholder delivery.

Role & Responsibilities

Design and implement end-to-end analytical solutions using R—data preparation, feature engineering, model development, evaluation, and deployment.
Develop and validate statistical and machine-learning models (regression, classification, time-series, survival analysis) to solve business problems and improve KPIs.
Build interactive analytics and dashboards using R Shiny and ggplot2 to enable data-driven decision making for business stakeholders.
Productionize models and reproducible workflows using containerization (Docker), version control (Git), and CI/CD best practices.
Collaborate with data engineering and product teams to integrate models into pipelines and APIs; ensure data quality, monitoring, and model retraining strategies.
Translate stakeholder requirements into analytical scopes, communicate results clearly, and provide recommendations grounded in rigorous statistical evidence.

Skills & Qualifications Must-Have

R
SQL
Machine Learning
Statistical Modeling
Data Visualization
R Shiny
Git
Docker

Preferred

Python
Spark
AWS

Qualifications

4+ years of professional experience in data science or analytics with primary hands-on use of R.
Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
Proven track record of delivering production-ready models and business-facing dashboards in an on-site, client-engagement environment.
Strong problem-solving and stakeholder-management capabilities; ability to translate business needs into data-driven solutions.

Benefits & Culture Highlights

Opportunity to work on high-impact, client-facing analytics projects across multiple industries.
Collaborative, mentorship-led environment with emphasis on technical excellence and career growth.
On-site role with exposure to end-to-end product delivery and production ML engineering practices.

Skills: r,machine learning,sql,data visualization,git,docker,statistical modeling