Data Scientist - R Programming

As a Data Scientist (R) at our fast-growing IT consulting and analytics services firm, your role will involve leading model development, deployment, and stakeholder delivery for client-facing analytics projects based in India. You will have the opportunity to design and implement end-to-end analytical solutions using R, develop statistical and machine-learning models, build interactive analytics and dashboards using R Shiny and ggplot2, and collaborate with data engineering and product teams to integrate models into pipelines and APIs. Your responsibilities will also include translating stakeholder requirements into analytical scopes and communicating results clearly. Key Responsibilities: - Design and implement end-to-end analytical solutions using Rdata preparation, feature engineering, model development, evaluation, and deployment. - Develop and validate statistical and machine-learning models to solve business problems and improve KPIs. - Build interactive analytics and dashboards using R Shiny and ggplot2. - 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. - Translate stakeholder requirements into analytical scopes, communicate results clearly, and provide recommendations grounded in rigorous statistical evidence. Qualifications Required: - 4+ years of professional experience in data science or analytics with primary hands-on use of R. - Bachelors or Masters 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. In addition to the technical skills and qualifications listed above, you will have the opportunity to work on high-impact, client-facing analytics projects across multiple industries, be part of a collaborative, mentorship-led environment that emphasizes technical excellence and career growth, and gain exposure to end-to-end product delivery and production ML engineering practices. As a Data Scientist (R) at our fast-growing IT consulting and analytics services firm, your role will involve leading model development, deployment, and stakeholder delivery for client-facing analytics projects based in India. You will have the opportunity to design and implement end-to-end analytical solutions using R, develop statistical and machine-learning models, build interactive analytics and dashboards using R Shiny and ggplot2, and collaborate with data engineering and product teams to integrate models into pipelines and APIs. Your responsibilities will also include translating stakeholder requirements into analytical scopes and communicating results clearly. Key Responsibilities: - Design and implement end-to-end analytical solutions using Rdata preparation, feature engineering, model development, evaluation, and deployment. - Develop and validate statistical and machine-learning models to solve business problems and improve KPIs. - Build interactive analytics and dashboards using R Shiny and ggplot2. - 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. - Translate stakeholder requirements into analytical scopes, communicate results clearly, and provide recommendations grounded in rigorous statistical evidence. Qualifications Required: - 4+ years of professional experience in data science or analytics with primary hands-on use of R. - Bachelors or Masters 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. In addition to the technical skills and qualifications listed above, you will have the opportunity to work on high-impact, client-facing analytics projects across multiple industries, be part of a collaborative, mentorship-led environment that emphasizes technical excellence and career growth, and gain exposure to end-to-end product delivery and production ML engineering practices.