Data Scientist- Immediate Joiner

Tekskills; Bulandshahr; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Tekskills is seeking a mid-senior Data Scientist with strong Azure experience to lead end-to-end data science initiatives. You will prepare data, engineer features, build and validate models, and deploy them in the cloud.

The role requires expertise in statistics, ML development, and SQL data manipulation, with hands-on Azure ML, Databricks, and Synapse Analytics experience. Proficiency in Python and R, plus libraries such as scikit-learn, pandas, NumPy, TensorFlow, and PyTorch, is essential.

Qualifications

• Mid-senior level profile with 68 years of experience.

Responsibilities

• 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

Skills

Data Scientist

Azure

Statistics

Python

R

SQL

Machine learning

Model deployment

EDA

Feature engineering

End-to-end DS workflow

Tools

Azure Machine Learning

Databricks

Synapse Analytics

Data Explorer (KQL)

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.