Job Overview: We are seeking a highly skilled Data Scientist to join our team and drive data-driven decision-making. The ideal candidate will have expertise in machine learning, statistical modeling, and big data analytics to extract valuable insights from large datasets. You will work closely with cross-functional teams, including data engineers, software developers, and business analysts, to develop predictive models and AI-powered solutions. Key Responsibilities: ✔ Data Analysis & Modeling: • Collect, clean, and preprocess structured and unstructured data from various sources. • Perform exploratory data analysis (EDA) to uncover trends and patterns. • Develop predictive and prescriptive models using machine learning (ML) and statistical techniques. ✔ Machine Learning & AI Development: • Build, train, and optimize ML models using frameworks like TensorFlow, PyTorch, Scikit-learn. • Develop deep learning, NLP, or computer vision solutions (if applicable). • Implement model validation, A/B testing, and hyperparameter tuning. ✔ Big Data & Cloud Integration: • Work with big data tools such as Apache Spark, Hadoop, and Databricks. • Deploy models on AWS, GCP, or Azure AI platforms (e.g., SageMaker, Vertex AI). ✔ Business Intelligence & Visualization: • Develop dashboards and reports using Tableau, Power BI, or Looker. • Present findings and insights to stakeholders, executives, and product teams. ✔ Collaboration & Deployment: • Work closely with data engineers to optimize data pipelines. • Deploy ML models into production with MLOps best practices (Docker, Kubernetes, CI/CD). Required Qualifications & Skills: ✅ Technical Skills: • Strong programming skills in Python, R, or SQL. • Experience with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch). • Knowledge of big data technologies (Spark, Hadoop, Kafka). • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. • Strong experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). • Experience with databases (SQL, NoSQL, Snowflake, Redshift). ✅ Soft Skills: • Strong analytical thinking and problem-solving abilities. • Ability to translate complex data into actionable insights for business stakeholders. • Excellent communication skills to present findings to technical and non-technical audiences. • Experience working in Agile/Scrum environments. Preferred Qualifications (Nice to Have): ✔ PhD or Master’s degree in Data Science, Computer Science, Mathematics, or Statistics. ✔ Experience in Natural Language Processing (NLP) or Computer Vision. ✔ Familiarity with AI Ethics, Responsible AI, and Explainable AI. Benefits & Perks: 🎯 Competitive financial compensation 🌍 Remote work flexibility 📚 Training & career development in AI/ML 🚀 Work with cutting-edge technologies in AI & big data How to Apply: • If you’re passionate about data science and AI-driven innovation, we’d love to hear from you! Apply now by submitting your CV outlining your experience and interest in this role.