Data Scientist
Pune, Maharashtra, India
- Experience
- 5–7 years
- Employment
- Full-time
- Work mode
- Onsite
- Salary
- ₹15 L–18 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2026-06-09
Required skills
| Skill | Experience | Level |
|---|---|---|
| Python | 3+ years | Intermediate |
| SQL | 3+ years | Intermediate |
| Machine Learning | 5+ years | Intermediate |
| Deep Learning | 3+ years | Intermediate |
| Statistical Modeling | 3+ years | Intermediate |
| Databricks | 2+ years | Intermediate |
| PySpark | 2+ years | Intermediate |
| MLOPS | 2+ years | Intermediate |
| Data Science | 5+ years | Intermediate |
About the role
Job Title: Data Scientist Total Experience:5+ Years
Location: Pune
Roles & Responsibilities:
· Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
· Design or enhance ML workflows for data ingestion, model design, model inference, and scoring
· Oversight on team project execution and delivery
· Establish peer review guidelines for high-quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies.
· Visualize and publish model performance results and insights to internal and external audiences.
· You will collaborate with executive-level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning.
· You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.
Qualifications:
· Master’s in a relevant quantitative, applied field (Statistics, Computer Science, IT, Engineering)
· 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure
· You have experience in leading the analysis and modeling of different datasets and overseeing the development, deployment, and productionization of the models.
· You have experience with statistical modeling, machine learning, deep learning, optimization, and other data science techniques to implement end-to-end data science projects.
· Experience on the Databricks platform is highly preferred.
· You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability.
· Proficiency in Python and SQL required; PySpark experience a plus
· Working knowledge of MLOps