About the Role
We're on the hunt for a Data Scientist who's not just good with numbers, but also excited about shaping the future of AI. If SQL queries feel like second nature, Python is your playground, and the idea of building with LLMs (think RAG pipelines and prompt engineering) gets you pumped - this role is calling your name. You'll dive into big data, cloud platforms, and machine learning to turn raw information into game-changing insights and scalable AI solutions.
What You'll Do
- Slice, dice, and analyze massive datasets using SQL and Python to find insights that matter.
- Create sleek, interactive dashboards in Power BI to keep the business one step ahead.
- Build, train, and deploy machine learning models that actually make an impact.
- Experiment with LLMs - from prompt engineering to building RAG pipelines - to push the boundaries of what's possible.
- Use AWS to wrangle data workflows and deploy models at scale.
- Collect and curate high-quality data to fine-tune next-gen LLMs.
- Share your findings in a way that excites both data nerds and non-techies alike.
What We'd Love to See
- A Bachelor's or Master's degree in Data Science, Analytics, Computer Science, or something equally data-driven.
- Solid hands-on experience with SQL, Python, Power BI, and AWS, Model Training, Model Deployment, RAG, Prompt Engineering
- 3+ years working with data visualization tools (Power BI or Tableau).
- Familiarity with cloud platforms like AWS or Azure.
- Strong background in training and deploying ML models.
- Experience working with LLMs, RAG pipelines, and prompt engineering.
- Clear communicator, great collaborator, and someone who can keep projects moving smoothly.
