Senior Data Scientist - AIML

Leadership & Strategy\nLead and mentor a team of Data Scientists and Analysts to design and implement advanced data models and analytics solutions.\nDefine and drive the organization’s data science roadmap aligned with product, business, and customer objectives.\nPartner with stakeholders across Product, Engineering, and Business teams to identify high-impact data opportunities.\n2. Advanced Analytics & Modelling\nLead the design, development, and deployment of machine learning, AI, and predictive models to solve business-critical challenges such as churn prediction, recommendation systems, and behavioral analytics.\nOversee model validation, optimization, and scalability across production environments.\nEnsure best practices in experimentation, A/B testing, and statistical analysis to support product and marketing decisions.\n3. Data Engineering & Integration\nArchitect robust data collection and integration pipelines across multiple data sources, including Firebase (Firestore, Firebase Analytics) and BigQuery .\nOversee data preprocessing, feature engineering, and ETL pipelines to ensure reliability and performance for modelling and analytics.\nEnsure efficient data interoperability across APIs and cloud-based systems.\n4.

Insights & Visualization\nDeliver actionable insights through compelling visualizations, dashboards, and presentations for executive and operational stakeholders.\nTranslate complex analytical findings into clear business recommendations.\nChampion data storytelling to influence strategic decisions across departments.\n5. Cloud Model Deployment & Monitoring\nLead the deployment and operationalization of ML models on Google Cloud Platform (Vertex AI, BigQuery ML) or equivalent public clouds.\nImplement robust model tracking, monitoring, and performance management frameworks.\nProactively manage model drift, data quality, and retraining cycles for continuous improvement.\n6. Collaboration & Communication\nCollaborate closely with cross-functional teams—Engineering, Product, and UX—to integrate intelligent models into applications (including React and Firebase-hosted systems ).\nCommunicate complex data science concepts and project outcomes effectively to technical and non-technical audiences.\n\nRequired Skills:\n5+ years of professional experience in Data Science, with at least 2+ years in a lead or managerial capacity.\nProven expertise in machine learning, deep learning, and predictive analytics.\nHands-on experience with Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage, AI Platform) or equivalent cloud infrastructure.\nStrong proficiency in Python and related data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).\nExperience with Firebase, REST APIs, and cloud-based data integration.\nAdvanced skills in data visualization and BI tools (Looker Studio, Tableau, or Power BI).\nSolid understanding of data architecture, data modeling, and MLOps pipelines.\nExceptional leadership, communication, and stakeholder management skills.