Talent Analytics
4 days ago
What you'll be doing
- Unlocking insights with AI: Use Oracle Analytics Cloud and AI to explore recruiting and talent data, spot trends, predict outcomes, and recommend data-driven strategies.
- Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.
- Recruiting Insight: A strong interest in transforming the recruitment experience using AI, with a deep understanding of the challenges and opportunities in talent acquisition.
- Telling stories through data: Turn complex findings into clear, actionable insights that help guide key business and talent decisions.
- Designing and visualizing: Build meaningful data models and create engaging visual dashboards that make analytics easy to understand and act on.
- Collaborating across teams: Work closely with Talent Acquisition partners and other groups to understand business needs and design impactful solutions, identify opportunities where AI can improve efficiency and drive better hiring outcomes.
- Championing data-driven culture: Help shape a culture where decisions are powered by data and analytics.
- Innovating continuously: Stay ahead of AI and analytics trends, experimenting with new tools and ideas to keep our talent analytics evolving.
- Impact: Drive the development of AI tools that influence how organizations connect with, evaluate, and hire exceptional talent
- AI Solutions for Recruiting: Create intelligent platforms that provide insights into candidate potential, career trajectories, and cultural fit by leveraging natural language processing (NLP), machine learning, and data analytics.
What will help you succeed:
- Experience applying AI and analytics to generate insights and recommendations.
- A knack for data storytelling — translating numbers into compelling narratives.
- Strong analytical skills with experience in data modeling, visualization (especially Oracle Analytics Cloud), and interpreting complex datasets.
- Clear communication skills and the ability to collaborate with cross-functional teams.
- A problem-solver's mindset: framing questions, testing ideas, and finding solutions.
- Critical thinking: questioning assumptions and ensuring conclusions are reliable.
- Ensure ethical and responsible AI practices in all solutions.
Why join us? You'll not only get to work with cutting-edge AI and analytics tools but also play a direct role in shaping how Oracle hires and grows talent. This is a place where curiosity, innovation, and collaboration are valued — and where your work will have a real impact.
Responsibilities- Artificial Intelligence techniques for advanced analytics and data-driven insights
- Data storytelling (translating findings into compelling narratives)
- Analytical thinking (extracting, processing, interpreting large datasets)
- Data visualization (with Oracle Analytics Cloud – OAC)
- Python experience is a plus
Career Level - IC3
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