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Senior Data Scientist

Fresher   All India   26 May, 2026
Unicorn workforce
Job LocationAll India
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    As a Senior Data Scientist with 8 years of experience, you will be responsible for the following:- Designing, developing, and deploying machine learning and statistical models- Performing advanced data analysis and exploratory data analysis (EDA)- Developing scalable ML pipelines using Python / R- Writing optimized SQL queries for data extraction and transformation- Performing feature engineering and model validation- Working closely with Data Engineering teams for data preparation and pipeline integration- Communicating insights and model outcomes to business stakeholders- Monitoring model performance and implementing improvements- Ensuring data quality, governance, and compliance standardsQualifications Required:- 8 years of experience in Data Science / Advanced Analytics- Strong hands-on expertise in Python (NumPy, Pandas, Scikit-learn, etc.)- Strong proficiency in R- Advanced SQL skills- Experience in building and deploying ML models in production- Strong understanding of statistics, probability, and ML algorithms- Experience handling structured and unstructured datasetsAdditional Details:The ideal candidate must have robust expertise in Python, R, and SQL, along with the ability to work on end-to-end data science workflows from data exploration and feature engineering to model deployment and performance monitoring. Understanding of Databricks and Azure Data Factory (ADF) is a plus. As a Senior Data Scientist with 8 years of experience, you will be responsible for the following:- Designing, developing, and deploying machine learning and statistical models- Performing advanced data analysis and exploratory data analysis (EDA)- Developing scalable ML pipelines using Python / R- Writing optimized SQL queries for data extraction and transformation- Performing feature engineering and model validation- Working closely with Data Engineering teams for data preparation and pipeline integration- Communicating insights and model outcomes to business stakeholders- Monitoring model performance and implementing improvements- Ensuring data quality, governance, and compliance standardsQualifications Required:- 8 years of experience in Data Science / Advanced Analytics- Strong hands-on expertise in Python (NumPy, Pandas, Scikit-learn, etc.)- Strong proficiency in R- Advanced SQL skills- Experience in building and deploying ML models in production- Strong understanding of statistics, probability, and ML algorithms- Experience handling structured and unstructured datasetsAdditional Details:The ideal candidate must have robust expertise in Python, R, and SQL, along with the ability to work on end-to-end data science workflows from data exploration and feature engineering to model deployment and performance monitoring. Understanding of Databricks and Azure Data Factory (ADF) is a plus.

Keyskills :
PythonSQLNumPyStatisticsProbabilityDatabricksAzure Data FactoryPandasScikitlearn

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