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Lead Data Scientist

Ishan Technologies
Pune, Maharashtra

Quick apply

Job details

Full-time
₹17,00,000 - ₹35,00,000 a year

Qualifications

TensorFlow
Power BI
Data modeling
Cloud infrastructure
Computer Science
React
PyTorch
NumPy
Google Cloud Platform
Tableau
Master's degree
Pandas
Analysis skills
Bachelor's degree
Machine learning
Deep learning
REST
APIs
Predictive analytics
Data science
Data visualization
AI
Communication skills
Python
Data Science

Full job description

Position Title:

Lead Data Scientist

Function:

Tech Product Development

Reporting to:

Program Manager – Tech Product Development

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:

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:

8+ 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.

Qualification:

Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field.
Strong analytical and problem-solving abilities with a results-oriented mindset.
Demonstrated ability to lead teams, manage priorities, and deliver under tight timelines.
Passionate about innovation, continuous learning, and applying data science for real-world business impact.
Enthusiastic, self-driven, and customer-focused professional.

Pay: ₹1,700,000.00 - ₹3,500,000.00 per year

Work Location: In person

Quick apply

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