Lead Data Scientist

Job Description Job Title: Lead Data Scientist Location: Pune Salary: Upto 22 LPA Job Summary: We are seeking a highly experienced and visionary Lead Data Scientist to spearhead our data-driven initiatives and guide a team of data professionals in developing scalable, impactful solutions. The ideal candidate will have deep expertise in machine learning, predictive analytics, and cloud-based model deployment (preferably on Google Cloud Platform GCP).This role involves leading end-to-end data science projects from problem definition to production deployment, while collaborating with cross-functional teams to transform complex data into actionable business insights that enhance decision-making, optimize user engagement, and drive measurable growth across web and mobile applications, including React-based environments. Key Responsibilities: 1. Leadership & Strategy - Lead and mentor a team of Data Scientists and Analysts to design and implement advanced data models and analytics solutions. - Define and drive the organization's data science roadmap aligned with product, business, and customer objectives. - Partner with stakeholders across Product, Engineering, and Business teams to identify high-impact data opportunities. 2. Advanced Analytics & Modelling - Lead 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. - Oversee model validation, optimization, and scalability across production environments. - Ensure best practices in experimentation, A/B testing, and statistical analysis to support product and marketing decisions. 3. Data Engineering & Integration - Architect robust data collection and integration pipelines across multiple data sources, including Firebase (Firestore, Firebase Analytics) and BigQuery. - Oversee data preprocessing, feature engineering, and ETL pipelines to ensure reliability and performance for modelling and analytics. - Ensure efficient data interoperability across APIs and cloud-based systems. 4. Insights & Visualization - Deliver actionable insights through compelling visualizations, dashboards, and presentations for executive and operational stakeholders. - Translate complex analytical findings into clear business recommendations. - Champion data storytelling to influence strategic decisions across departments. 5. Cloud Model Deployment & Monitoring - Lead the deployment and operationalization of ML models on Google Cloud Platform (Vertex AI, BigQuery ML) or equivalent public clouds. - Implement robust model tracking, monitoring, and performance management frameworks. - Proactively manage model drift, data quality, and retraining cycles for continuous improvement. 6. Collaboration & Communication - Collaborate closely with cross-functional teamsEngineering, Product, and UXto integrate intelligent models into applications (including React and Firebase-hosted systems). - Communicate complex data science concepts and project outcomes effectively to technical and non-technical audiences. Required Skills: - 5+ years of professional experience in Data Science, with at least 2+ years in a lead or managerial capacity. - Proven expertise in machine learning, deep learning, and predictive analytics. - Hands-on experience with Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage, AI Platform) or equivalent cloud infrastructure. - Strong proficiency in Python and related data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). - Experience with Firebase, REST APIs, and cloud-based data integration. - Advanced skills in data visualization and BI tools (Looker Studio, Tableau, or Power BI). - Solid understanding of data architecture, data modeling, and MLOps pipelines. - Exceptional leadership, communication, and stakeholder management skills.