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Description:
The Data Scientist will lead the development, implementation, and deployment of machine learning models across various domains.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Manage the end-to-end machine learning lifecycle, from data collection to model training, evaluation, and deployment.
Ensure scalability, reliability, and performance of machine learning systems in production environments.
Conduct thorough data analysis to extract actionable insights and drive business strategy.
Utilize expertise in NLP, Computer Vision, and other advanced techniques to solve complex problems.
Communicate findings and recommendations to stakeholders using visualization and reporting tools.
Lead code reviews, provide feedback, and mentor junior data scientists.
Requirements:
Bachelor’s degree in computer science, Software Engineering, Statistics, Mathematics, or related field.
Minimum 3 years of experience in developing and deploying machine learning models.
Proficiency in Python and its data science ecosystem for data manipulation, analysis, and modeling.
Strong understanding of coding standards, version control (Git), and containerization (Docker).
Experience with Linux, cloud platforms (AWS, Azure, GCP), and large-scale datasets.
Knowledge of the machine learning lifecycle, model evaluation, and optimization.
Excellent research skills, communication skills, and analytical mindset.