hotskills.tech

About Job

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 job perk: Posted At: 1 day ago, job perk: Salary: ₹1.1M–₹1.9M a year, job perk: Schedule Type: Full-time