Start Date
Immediate
Expiry Date
16 Dec, 26
Salary
5000.0
Posted On
17 Sep, 26
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Services
| Job Description | • Experience of implementing data science based solutions at at enterprise level is mandatory. • Python,R, TensorFlow, PyTorch, SQL, AWS Cloud Platform, SageMaker, BedRock, Gen AI Frameworks and models, • Strong traditional Machine Learning experience mandatory, • Preditive analytics, Classification/Probability algorithms • Develop a comprehensive data science strategy for the organization by aligning data initiatives with business goals, identifying key data sources, establishing data governance and management practices, implementing advanced analytics and machine learning solutions, and fostering a data-driven culture to drive innovation and decision-making • Collaborate with business stakeholders to define problem statements, set clear expected outcomes using data science and artificial intelligence, and identify actionable business benefits and opportunities • Examine extensive datasets to identify significant trends, patterns, and correlations that can provide valuable insights and inform strategic decision-making. • Apply statistical techniques, data visualization, and analytical tools to uncover underlying relationships and actionable information from complex and voluminous data • Build and refine predictive models, implement machine learning algorithms, and assess their performance to provide actionable insights and forecasts. |
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| Job Description | • Experience of implementing data science based solutions at at enterprise level is mandatory. • Python,R, TensorFlow, PyTorch, SQL, AWS Cloud Platform, SageMaker, BedRock, Gen AI Frameworks and models, • Strong traditional Machine Learning experience mandatory, • Preditive analytics, Classification/Probability algorithms • Develop a comprehensive data science strategy for the organization by aligning data initiatives with business goals, identifying key data sources, establishing data governance and management practices, implementing advanced analytics and machine learning solutions, and fostering a data-driven culture to drive innovation and decision-making • Collaborate with business stakeholders to define problem statements, set clear expected outcomes using data science and artificial intelligence, and identify actionable business benefits and opportunities • Examine extensive datasets to identify significant trends, patterns, and correlations that can provide valuable insights and inform strategic decision-making. • Apply statistical techniques, data visualization, and analytical tools to uncover underlying relationships and actionable information from complex and voluminous data • Build and refine predictive models, implement machine learning algorithms, and assess their performance to provide actionable insights and forecasts. |
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