Data Scientist- Immediate Joiner

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

Job summary

Tekskills is seeking a mid-senior Data Scientist with strong Azure experience in Hyderabad. The ideal candidate will own end-to-end data science projects, from data prep and feature engineering to model deployment and monitoring.

Candidates should be proficient in Python and R, and have hands-on experience with Azure ML, Databricks, Synapse Analytics, and Data Explorer (KQL). Knowledge of statistics, ML libraries, and secure data workflows is essential.

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.

Responsibilities

• Develop and deploy models on Azure, monitor performance and scale.
• Integrate Azure ML with open-source ML frameworks and data pipelines.
• Ensure data security and compliance across data science workflows.

Skills

Data science

Analytical thinking

Problem solving

Python

R

Statistics

Tools

Azure ML

Databricks

Synapse Analytics

Data Explorer (KQL)

Python libraries (scikit-learn/pandas/NumPy)

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.