One of the Consulting Firms
Location
Bangalore | India
Job description
AWS SAGMAKER DATA SCIENTIST Key Responsibilities:- Utilize your expertise in data science, Python, SQL, and statistical techniques to develop and implement machine learning models.- Leverage Amazon SageMaker to build, train, deploy, monitor, and maintain machine learning models in production environments.- Apply predictive analytics, statistical modeling, and data mining algorithms to solve complex business problems and drive actionable insights.- Take ownership of the full lifecycle of machine learning projects, from data preparation and model training to deployment and ongoing monitoring- Collaborate effectively with cross-functional teams to understand business requirements and translate them into scalable and efficient machine learning solutions.- Demonstrate strong communication skills, both written and verbal, to effectively communicate findings and insights to stakeholders.Requirements:- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.- Minimum of 7-8 years of total IT experience, with a focus on data science and machine learning.- At least 4 years of practical experience in data science, Python, SQL, and statistical techniques, including ML model development- Proven expertise in predictive analytics, statistical modeling, and data mining algorithms.- Proficiency in the full lifecycle of machine learning and software development in production environments.- Strong problem-solving skills and the ability to select the right statistical tools for data analysis problems (ref:hirist.tech)
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