zorba ai
Website:
zorbaconsulting.in
Job details:
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
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
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