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Principal Data Scientist- Architect

0 years

0 Lacs

Pune Maharashtra

Posted:4 weeks ago| Platform: SimplyHired logo

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Skills Required

Azure AWS Machine learning Leadership Python

Work Mode

On-site

Job Type

Full Time

Job Description

Pune, Maharashtra, India


Department
AI/ML
Job posted on
Jul 21, 2025
Employment type
Full Time Employee
A Principal Data Scientist job focuses on leading the development and application of machine learning models and data-driven solutions, often within a team or organization. This role involves both technical expertise in data science and leadership skills to guide other data scientists and collaborate with stakeholders.
Here's a more detailed breakdown of the responsibilities:

Core Responsibilities:
Lead Data Science Initiatives:
Drive the strategy and execution of data science projects, ensuring alignment with business goals.
Develop and Deploy Machine Learning Models:
Design, implement, and deploy machine learning models for various applications, including predictive modeling, classification, and recommendation systems.
Mentor and Guide Data Scientists:
Provide technical leadership and mentorship to junior data scientists, fostering their growth and development.
Collaborate with Stakeholders:
Work closely with product managers, engineers, and other teams to understand business needs and translate them into data-driven solutions.
Stay Up-to-Date with Emerging Technologies:
Continuously research and evaluate new machine learning techniques, tools, and platforms to improve the team's capabilities.
Communicate Findings:
Effectively communicate complex data insights and recommendations to both technical and non-technical audiences.

Technical Skills:
Advanced Machine Learning:
Expertise in various machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.
Statistical Modeling:
Strong foundation in statistical modeling, hypothesis testing, and experimental design.
Programming Languages:
Proficiency in Python or other relevant languages for data analysis and model development.
Data Manipulation and Analysis:
Experience with large datasets, data cleaning, and feature engineering.
Cloud Computing:
Familiarity with cloud platforms like AWS and Azure

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