Data Scientist

Job Description ·      We are looking for an experienced Data Scientist to design, develop, and deploy Advanced Analytics, Machine Learning (ML), and Generative AI solutions that solve complex business challenges. ·      You will collaborate with business stakeholders, project managers, data engineers, and software teams to transform large, complex datasets into actionable insights and production-ready AI solutions. Key Responsibilities ·      Applied Data Science & Advanced Analytics ·      Translate business challenges into scalable analytics and AI solutions. ·      Design end-to-end data science workflows including: Data Preparation Feature Engineering Model Development Model Validation Production Deployment ·      Apply: o   Statistical Analysis o   Machine Learning §  Natural Language Processing (NLP) ·      Optimization ·      Simulation Techniques o   Build predictive, classification, clustering, recommendation, and forecasting models. ·      Machine Learning Engineering o   Develop scalable ML models for production environments. o    Build analytics pipelines using: o   Python 📊 ·       Apache Spark o    Develop Generative AI & Agentic AI solutions using Large Language Models (LLMs). o   Deploy and manage models using: o   Docker o   Kubernetes o   MLOps Best Practices ·      Visualization & Stakeholder Management o    Build interactive dashboards using: Tableau Qlik Plotly ggplot2 Shiny o   Present insights to technical and business stakeholders. o   Act as a trusted advisor for AI and Advanced Analytics initiatives. Required Skills & Qualifications ·      Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, AI, or a related discipline. ·      5+ Years of experience in Data Science & Machine Learning. ·      Machine Learning (Supervised & Unsupervised) ·      Statistical Analysis ·      Feature Engineering ·      Predictive Analytics ·      Natural Language Processing (NLP) ·      Optimization & Simulation ·      Programming ·      Python ·      R ⚡ Big Data ·      Apache Spark ·      AI ·      Large Language Models (LLMs) ·       Generative AI ·      Agentic AI ·       MLOps ·      Docker ·      Kubernetes ·      Model Deployment ·      Data Visualization ·      Tableau ·      Qlik ·      Plotly ·      ggplot2 ·      Shiny ·      Excellent communication, presentation, and stakeholder management skills.