Data Scientist- Immediate Joiner

Tekskills; Bengaluru; Hybrid; INR 2,000,000 - 4,000,000; Full time

Job summary

Tekskills in Bengaluru, Karnataka seeks a mid-senior Data Scientist with strong Azure experience to lead end-to-end data science initiatives.

You will build, validate, and deploy models using Python and R, leverage Azure ML, Databricks, and Synapse Analytics, and integrate with data pipelines while ensuring security and compliance.

Experience with EDA and statistical methods is essential, along with practical exposure to ML frameworks like TensorFlow and PyTorch.

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
• 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
• 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
• Ability to integrate Azure tools with popular ML frameworks
• Experience in cloud-based model deployment, monitoring, and scaling
• Advanced analytical thinking and problem-solving
• Experience in exploratory data analysis (EDA)
• Awareness of security and compliance in data science workflows

Responsibilities

• Develop and deploy end-to-end data science solutions on Azure.
• Build and validate models using Python and R libraries.
• Perform explorations and feature engineering to improve model performance.
• Collaborate to integrate ML workflows with data pipelines and Azure services.
• Ensure security, governance, and compliance in data science processes.

Skills

Data Scientist

Azure

Python

R

SQL

scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

EDA

Deployment

Tools

Azure Databricks

Synapse Analytics

Data Explorer (KQL)

Azure Notebooks

Job description

Please look for a mid-senior level profile with 68 years of experience.

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

Hope this helps.