- 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or Artificial Intelligence.
- 3+ years serving in a senior technical leadership capacity.
- Demonstrated experience delivering enterprise-scale analytics and AI initiatives.
- Experience mentoring and developing Data Scientists.
- Experience partnering directly with business stakeholders and leadership teams.
- Experience leading cross-functional initiatives involving product, engineering, and business teams.

Ideal Candidate Profile: We are seeking a Lead Data Scientist who is a recognized expert in Data Science and AI while possessing the breadth required to successfully deliver modern data products and support enterprise transformation.

The ideal candidate

- Leads the Data Science discipline through technical expertise, mentorship, and best practices.
- Has demonstrated experience taking analytical solutions from concept to production, including business requirements, data preparation, model development, application development, deployment, user adoption, and value realization.
- Is highly proficient in Databricks and modern analytics development practices.
- Understands Data Engineering concepts and collaborates effectively with Lead Data Engineers.
- Has practical experience building analytical applications using technologies such as React, FastAPI, Streamlit, Databricks Apps,



or similar frameworks.
- Works effectively with Digital Product Managers, Digital Product Owners, Data Engineers, Machine Learning Engineers, Data Scientists, architects, and business stakeholders.
- Possesses robust problem-solving abilities and can rapidly learn new technologies, frameworks, cloud platforms, and business domains.
- Delivers measurable business outcomes rather than simply models, analyses, or proofs of concept.
- Helps drive organizational modernization through AI, data products, advanced analytics, and digital transformation initiatives.

Required Technical Skills Expert-Level Expertise

- Machine Learning
- Statistics
- Predictive Analytics
- Prescriptive Analytics
- Optimization
- Forecasting
- Experimental Design
- Artificial Intelligence
- Generative AI
- Python
- SQL

Advanced Proficiency

- Databricks
- Apache Spark
- Model Deployment
- MLOps
- API Development
- AI Solution Development
- Git
- CI/CD Practices

Working Knowledge

- ETL/ELT Development
- Data Modeling
- Data Governance
- Software Development Practices
- Cloud Architecture
- Data Engineering Principles

Preferred Skills
- AWS
- GCP
- Azure
- React
- FastAPI
- Streamlit
- Databricks Apps
- RAG Architectures
- LLM-Based Applications
- Optimization Solvers
- Manufacturing Analytics

📌 Lead Data Scientist (Bengaluru)
🏢 Ascendion Engineering
📍 Bengaluru