Data Scientist

Tekskills; Bulandshahr; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Tekskills in Bulandshahr, India seeks a Data Scientist (AI/ML) with strong Azure experience to drive end-to-end data science projects.

The role requires hands-on skills with Azure ML, Databricks, Synapse Analytics, Python, R and ML frameworks, delivering scalable models with robust deployment and monitoring.

Qualifications

• End-to-end data science workflow: data preparation, feature engineering, model building, validation, and deployment.
• Proficiency in descriptive and inferential statistics.
• Algorithm development for solving business problems.

Skills

End-to-end data science workflow

Statistics (descriptive & inferential)

Algorithm development

Tools

Azure Machine Learning

Databricks

Synapse Analytics

Data Explorer (KQL)

Python

R

scikit-learn

pandas

NumPy

TensorFlow

PyTorch

SQL

Job description

Job Description:

Required skills: Data Scientist (AI/ML) + Azure + Databricks + Synapse + Azure ML

The primary skill set is Data Scientist with strong Azure experience,

The candidate should have expertise in the following areas:

Core Expertise

• End-to-end data science workflow: data preparation, feature engineering, model building, validation, and deployment
• Proficiency in descriptive and inferential statistics
• Algorithm development for solving business problems

Azure Cloud Skills

• Hands-on experience with Azure Machine Learning, Databricks, Synapse Analytics, and Data Explorer (KQL)
• Skilled in using Azure Notebooks and integrating Azure services with open-source frameworks

Programming & Tools

• Strong command of Python and R
• Practical experience with libraries like scikit-learn, pandas, NumPy, TensorFlow, and PyTorch
• SQL proficiency for data manipulation and database management

Integration & Deployment

• Ability to integrate Azure tools with popular ML frameworks
• Experience in cloud-based model deployment, monitoring, and scaling

Analytical & Conceptual Strengths

• Advanced analytical thinking and problem-solving
• Experience in exploratory data analysis (EDA)
• Awareness of security and compliance in data science workflows