Data Science & Analytics Engineer

Job Description: Data Science & Analytics EngineerJob Title: Data Science & Analytics EngineerExperience: 3–11 YearsLocation: Islamabad (On-site/Hybrid as per business requirement)Employment Type: Full-TimeJob OverviewWe are looking for a talented Data Science & Analytics Engineer with 3–11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.Key ResponsibilitiesDesign, develop, and deploy predictive and analytical models to solve business problemsPerform data exploration, statistical analysis, feature engineering, and model evaluationBuild interactive dashboards, reports, and visualizations for business stakeholdersDevelop scalable data analytics solutions using modern cloud and big data platformsCollaborate with cross-functional teams to understand business requirements and translate them into analytical solutionsAnalyze structured and unstructured datasets to identify trends, patterns, and opportunitiesEnsure data quality, governance, and best practices across analytics initiativesPresent analytical findings and recommendations to technical and non-technical audiencesContinuously improve analytics processes, reporting capabilities, and model performanceRequired Technical SkillsProgramming & Data ScienceStrong proficiency in Python or R for data analysis, statistical modeling, and machine learningExperience with data manipulation, exploratory data analysis (EDA), and predictive analyticsData Science PlatformsHands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analyticsExperience developing end-to-end analytical workflows and model deploymentBusiness Intelligence & VisualizationStrong experience with Power BI or Tableau or Looker for dashboard development and data visualizationAbility to create interactive reports and executive-level dashboardsData Warehousing & AnalyticsExperience with BigQuery or Snowflake for large-scale analytics and data warehousingStrong understanding of SQL, data modeling, and analytical query optimizationAnalytics & Machine LearningExperience with statistical analysis, forecasting, classification, clustering, and regression modelsFamiliarity with machine learning libraries and model evaluation techniquesQualificationsBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field3–11 years of professional experience in Data Science, Business Analytics, or Advanced AnalyticsStrong analytical, mathematical, and problem-solving skillsExcellent communication and presentation skillsExperience working in Agile/Scrum environmentsPreferred SkillsExperience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud PlatformKnowledge of MLOps, model deployment, and AI-driven analyticsExperience with ETL/ELT processes and data engineering conceptsFamiliarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantageRelevant certifications in Data Science, Analytics, or Cloud technologies are a plusKey Technology StackProgramming Languages: Python or RData Science Platforms: Databricks or DataikuBusiness Intelligence: Power BI or Tableau or LookerData Warehouse: BigQuery or SnowflakeAnalytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data VisualizationCloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred)