Lead data scientist

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 Big Query . 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, Big Query 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 teams—Engineering, Product, and UX—to 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 (Big Query, Vertex AI, Cloud Storage, AI Platform) or equivalent cloud infrastructure. Strong proficiency in Python and related data science libraries (Pandas, Num Py, Scikit-learn, Tensor Flow, Py Torch, 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.