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Full Stack Data Scientist Data Analytics Team

Full Stack Data Scientist Data Analytics Team

Mantras2success Consultants

3 - 8 years

5 - 10 Lacs

ahmedabad

Posted:1 month ago| Platform:

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Skills Required

git version control data manipulation machine learning cloud programming model development data analytics monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role :

We are looking for a hands-on Full Stack Data Scientist who can independently manage the

entire machine learning lifecycle from data wrangling to deployment without relying on a

dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-

directed environment and is passionate about building real-world ML solutions that drive

business outcomes.

Key Responsibilities :

Own the full ML pipeline : data ingestion, cleaning, feature engineering, model

development, deployment, and monitoring.

Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,

TensorFlow, or PyTorch.

Deploy models using Databricks , MLflow , and cloud-native tools (preferably Azure).

Develop robust, scalable pipelines using PySpark or native Databricks workflows.

Collaborate with BI analysts and business stakeholders to translate requirements into

production-ready solutions.

Maintain and improve existing models and pipelines with minimal supervision.

Required Skills :

3+ years of experience in applied data science or ML engineering.

Strong Python programming skills, including experience with data manipulation and ML libraries.

Experience with Databricks and cloud-based ML deployment (Azure preferred).

Ability to work independently across the full stack of ML development and deployment.

Familiarity with version control (Git), CI/CD, and MLOps best practices.

Excellent communication skills and ability to work with remote teams across time zones.

Nice to Have

Experience with data pipeline development using PySpark or Delta Lake.

Exposure to Docker , REST APIs , or real-time inference .

Prior experience working in a manufacturing or industrial analytics environment.

Interview Process:

Shortlisted candidates will be required to complete:

An online technical skills assessment focused on Python and applied machine learning.

An in-person practical test at our Ahmedabad Tech Center to evaluate real-world

problem-solving and deployment capabilities.

Hours: 2:30 PM 11:30 PM IST

Reports to: Manager, Data Analytics California, USA

Key Skills :

Data Scientist
Data Ingestion
Model Development

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Full Stack Data Scientist Data Analytics Team