Data Scientist - 7829
Data Scientist - 7829
Posted on :
14-07-2025
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1 Vacancy
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Job Description
Description:
Develop and implement machine learning models. Improve model accuracy through iterative testing.
Utilize supervised unsupervised reinforcement and deep learning techniques.
Design and create features for data science applications.
Integrate and monitor AI models. Apply NLP computer vision and predictive analytics.
Perform data preprocessing and transformation. Ensure data quality and integrity.
Implement ETL processes and data warehousing.
Use advanced data techniques and big data technologies.
Additional Responsibilities:
Collaboration: Work closely with cross-functional teams including data scientists data engineers and business analysts to deliver comprehensive solutions.
Documentation: Maintain thorough documentation of models features and data engineering processes.
Innovation: Proactively identify opportunities for innovation and improvement in data science.
Skills Required:
Proficiency in programming languages such as Python PySpark and SQL.
Experience with machine learning frameworks like TensorFlow PyTorch and Scikit-learn.
Knowledge of AI techniques including NLP computer vision and reinforcement learning.
Expertise in data engineering tools and platforms such as Apache Kafka Airflow and MS Azure.
Strong understanding of data structures algorithms and software development principles.
Ability to work with large datasets and perform complex data analysis.
Proficiency in Power BI for data visualization and reporting.
Enable Skills-Based Hiring No Utilize supervised unsupervised reinforcement and deep learning techniques.
Design and create features for data science applications.
Integrate and monitor AI models. Apply NLP computer vision and predictive analytics.
Perform data preprocessing and transformation. Ensure data quality and integrity.
Implement ETL processes and data warehousing.
Use advanced data techniques and big data technologies.
Additional Responsibilities:
Collaboration: Work closely with cross-functional teams including data scientists data engineers and business analysts to deliver comprehensive solutions.
Documentation: Maintain thorough documentation of models features and data engineering processes.
Innovation: Proactively identify opportunities for innovation and improvement in data science.
Skills Required:
Proficiency in programming languages such as Python PySpark and SQL.
Experience with machine learning frameworks like TensorFlow PyTorch and Scikit-learn.
Knowledge of AI techniques including NLP computer vision and reinforcement learning.
Expertise in data engineering tools and platforms such as Apache Kafka Airflow and MS Azure.
Strong understanding of data structures algorithms and software development principles.
Ability to work with large datasets and perform complex data analysis.
Proficiency in Power BI for data visualization and reporting.
Additional Details
- Planned Resource Unit : (55)ITTRUCKS;(11)F/TC - Application Engineer - 3-6 Yrs;Data Scientist;(Z2)3-6 Years
Employment Type
Full-time
Key Skills
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