Note: The job is a remote job and is open to candidates in USA. Oracle is seeking a skilled and innovative Data Scientist to join their dynamic team. The role involves transforming complex datasets into actionable insights and collaborating with cross-functional teams to support data-driven decision-making.
Responsibilities
- Analyze large and complex datasets to identify patterns, trends, and insights. Develop, test, and implement machine learning models for predictive analytics
- Develop and implement generative AI models, including LLMs, text-to-image and generative AI models
- Partner with data engineering teams to define data requirements and ensure data pipelines are optimized for analysis
- Conduct hypothesis testing, A/B testing, regression analysis, and other statistical methods to validate business assumptions
- Collaborate with engineering teams to deploy machine learning models into production and ensure model performance meets business needs
- Collaborate with other engineers, stakeholders and team members to develop innovative solutions
- Create compelling visualizations and dashboards using tools like Tableau, Power BI, or similar to present insights to both technical and non-technical audiences
- Ability to quickly identify opportunities for model improvement
Skills
- Bachelor's or master's degree in computer science, Engineering, or a related field
- 5+ years of experience in developing and training AI/ML models
- Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn
- Knowledge of state-of-the-art generative AI models such as GPT, LLaMA, Gemini and DALL-E
- Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS
- Experience with data visualization tools like Tableau, Power BI, or similar
- Strong understanding of deep learning, natural language processing, and computer vision
- Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in AI/ML
- Experience with version control systems like Git
- Familiarity with cloud-based ML model deployment (e.g., Azure ML, AWS SageMaker)
Company Overview
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