Data Scientist

Tekskills; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills in Pune, Maharashtra, seeks a Data Scientist with strong Azure experience to lead ML initiatives using Azure Machine Learning, Databricks, and Synapse Analytics. You will perform end-to-end data science workflows, from data prep to deployment, while applying advanced analytics and model development techniques.

Proficiency in Python and R, with hands-on experience in scikit-learn, pandas, NumPy, TensorFlow and PyTorch, plus SQL for data manipulation, is essential.

Qualifications

• Data Scientist with strong Azure experience.
• End-to-end data science workflow including prep, feature engineering, model building, validation and deployment.
• Proficiency in descriptive and inferential statistics.

Responsibilities

• Deploy, monitor, and scale cloud-based ML models.
• Integrate Azure tools with popular ML frameworks.
• Collaborate to align data science outputs with business needs.

Skills

Data science workflow

Analytical thinking

Problem solving

EDA

Tools

Python

R

scikit-learn

pandas

NumPy

TensorFlow

PyTorch

SQL

Azure Machine Learning

Databricks

Synapse Analytics

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