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Data Scientist

Pune, Maharashtra, India

Experience
6–8 years
Employment
Full-time
Work mode
Onsite
Salary
₹18 L–21 L / year
Deadline
Apply by 1 Nov 2026
Posted
2026-07-28

Required skills

SkillExperienceLevel
Python4+ yearsIntermediate
SQL4+ yearsIntermediate
Data Modeling4+ yearsIntermediate
Machine Learning4+ yearsIntermediate
Deep Learning4+ yearsIntermediate
PySpark2+ yearsIntermediate
MLOPS2+ yearsIntermediate
Statistical Modeling4+ yearsIntermediate
Databricks3+ yearsIntermediate
Data Science6+ yearsIntermediate

About the role

Data Scientist


Job Title: Data Scientist

Total Experience: 6+ 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)

 4-5 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

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