As our first Staff Data Scientist, you’ll be building a new branch of our business and product suite. You’ll play a critical role in shaping the future of AI-driven features across our platform, defining the strategy, tools, and infrastructure that will power intelligent systems throughout our AWS-based ecosystem.
Requirements
- Architect, build, and deploy ML and AI models—from classical ML (SVMs, Random Forests, Decision Trees) to advanced deep learning techniques (Transformers, CNNs, RNNs).
- Integrate LLM-powered agents and prompt engineering techniques into user-facing products and internal tools.
- Partner with cross-functional teams to identify high-impact opportunities for AI and data science across the business.
- Analyze structured and unstructured data using SQL, Python, statistics, and advanced mathematical techniques to extract insights and drive action.
- Evaluate and implement state-of-the-art AI tools and frameworks (e.g., LangChain, Hugging Face, OpenAI) and stay current on emerging trends in LLMs, prompt engineering, and ML Ops.
- Build secure, scalable, and maintainable AI systems aligned with best practices in software and data engineering.
- Lead research and prototyping initiatives to explore innovative AI applications for the business.
- Write clean, efficient, testable code while upholding modern engineering standards.
Benefits
- Base salary of $190,000 and company equity
- Best Places to Work recipient
- Transparent communication from the top down
- Collaborative, smart, and forward-thinking team
- Direct, meaningful impact as we scale
- Casual dress code
- Hybrid and remote work schedules
- Health, 401k match, wellness, disability, employee discounts, time away — and more!
Originally posted on Himalayas
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