Data Scientist- R Programming_4+yrs

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