Description :

Job Title : Lead Data Scientist.

Location : Pune.

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 :

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 organizations 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.

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.

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.

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.

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.

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 :

- 7+ 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.