Data Scientist

Tekskills; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tekskills in Bengaluru, India, is seeking a Data Scientist (AI/ML) with strong Azure experience to join our analytics team. You will work on end-to-end data science workflows, from data prep to deployment, leveraging Databricks, Synapse Analytics, and Azure ML.

The ideal candidate commands Python and R, with SQL proficiency, and can build, evaluate, and deploy models with monitoring and scaling in the cloud environment.

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).
• Strong command of Python and R.
• SQL proficiency for data manipulation and database management.

Responsibilities

• Design and implement end-to-end data science workflows.
• Develop and validate models for business problems.
• Deploy, monitor, and scale cloud-based models.
• Perform exploratory data analysis and data exploration.

Skills

Analytical thinking

Problem solving

Exploratory data analysis

Tools

Python

R

scikit-learn

pandas

NumPy

TensorFlow

PyTorch

SQL

Azure

Databricks

Synapse Analytics

Azure ML

KQL

Azure Notebooks

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