Data Scientist- R Programming

As a Data Scientist (R) at our fast-growing IT consulting and analytics services firm, you will be part of a client-facing analytics team based in India, focusing on model development, deployment, and stakeholder delivery.

• *Role Overview:**

You will design and implement end-to-end analytical solutions using R, including data preparation, feature engineering, model development, evaluation, and deployment. Additionally, you will develop and validate statistical and machine-learning models to solve business problems, build interactive analytics and dashboards using R Shiny and ggplot2, and productionize models and reproducible workflows using containerization, version control, and CI/CD best practices. Collaboration with data engineering and product teams to integrate models into pipelines and APIs, ensuring data quality, monitoring, and model retraining strategies, will be a key responsibility. You will also be translating stakeholder requirements into analytical scopes, communicating results clearly, and providing recommendations grounded in rigorous statistical evidence.

• *Key Responsibilities:**
• Design and implement end-to-end analytical solutions using R
• Develop and validate statistical and machine-learning models
• Build interactive analytics and dashboards using R Shiny and ggplot2
• Productionize models and reproducible workflows using containerization, version control, and CI/CD best practices
• Collaborate with data engineering and product teams
• Translate stakeholder requirements into analytical scopes
• *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

In addition to the qualifications mentioned above, you must have expertise in R, SQL, machine learning, statistical modeling, data visualization, Git, and Docker. Preferred skills include Python, Spark, and AWS.

At our company, you will have the opportunity to work on high-impact, client-facing analytics projects across multiple industries in a collaborative, mentorship-led environment that emphasizes technical excellence and career growth. This on-site role provides 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, you will be part of a client-facing analytics team based in India, focusing on model development, deployment, and stakeholder delivery.

• *Role Overview:**

You will design and implement end-to-end analytical solutions using R, including data preparation, feature engineering, model development, evaluation, and deployment. Additionally, you will develop and validate statistical and machine-learning models to solve business problems, build interactive analytics and dashboards using R Shiny and ggplot2, and productionize models and reproducible workflows using containerization, version control, and CI/CD best practices. Collaboration with data engineering and product teams to integrate models into pipelines and APIs, ensuring data quality, monitoring, and model retraining strategies, will be a key responsibility. You will also be translating stakeholder requirements into analytical scopes, communicating results clearly, and providing recommendations grounded in rigorous statistical evidence.

• *Key Responsibilities:**
• Design and implement end-to-end analytical solutions using R
• Develop and validate statistical and machine-learning models
• Build interactive analytics and dashboards using R Shiny and ggplot2
• Productionize models and reproducible workflows using containerization, version control, and CI/CD best practices
• Collaborate with data engineering and product teams
• Translate stakeholder requirements into analytical scopes
• *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

In addition to the qualifications mentioned above, you must have expertise in R, SQL, machine learning, statistical modeling, data visualization, Git, and Docker. Preferred skills include Python, Spark, and AWS.

At our company, you will have the opportunity to work on high-impact, client-facing analytics projects across multiple industries in a collaborative, mentorship-led environment that emphasizes technical excellence and career growth. This on-site r