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
  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 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:

• 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.