Data Scientist (R)

About the job

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

Requirements

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

Qualifications

• Bachelor’s or Master’s degree in Statistics
• Mathematics
• Computer Science
• Economics
• or related quantitative field

Preferred Technologies

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

Benefits

• 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.

About the company

Zorba AI is 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.