Data Scientist (Junior)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯

This role is for one of our client companies — a VC-backed startup that has raised $11M USD in funding.

𝗦𝗮𝗹𝗮𝗿𝘆: Up to 40LPA

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴

CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

🚀 𝗝𝘂𝗻𝗶𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 (2+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)

We are seeking a Junior Data Scientist to join a well-funded, high-growth AI healthcare startup transforming clinical coding with advanced LLMs and NLP. In this role, you will develop and scale production-ready ML models to solve complex, real-world medical tech challenges.

🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼

• Develop, implement, and maintain Python-based NLP and Machine Learning models for clinical and healthcare applications.
• Work with LLMs and transformer-based architectures to build and adapt AI solutions for domain-specific use cases.
• Evaluate state-of-the-art models and identify suitable approaches based on business requirements, data characteristics, and performance constraints.
• Analyze existing models and customize them to address new problem statements and client-specific requirements.
• Improve model accuracy, reliability, and performance through experimentation, evaluation, and iterative optimization.
• Translate client and business requirements into practical ML/NLP solutions, taking ownership of clearly defined execution tasks.
• Collaborate with cross-functional and client-facing teams to understand use cases and deliver data-driven insights.
• Communicate model outputs, applicability, limitations, and technical trade-offs to technical and non-technical stakeholders.✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
• 2+ years of hands-on experience in Python-based Machine Learning, NLP, or Applied AI.
• Strong proficiency in Python and experience building, implementing, and maintaining ML/NLP models.
• Strong understanding of NLP fundamentals, including text processing, tokenization, embeddings, classification, and information extraction.
• Practical understanding of LLM architectures, capabilities, limitations, and real-world applications.
• Familiarity with state-of-the-art NLP and LLM models and the ability to adapt them to domain-specific problem statements.
• Experience evaluating, fine-tuning, or optimizing ML/NLP models to improve accuracy, performance, and reliability.✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
• Own your projects from day one with true decision-making power.
• Build scalable AI solutions that directly impact our growing customer base.
• Learn rapidly alongside elite engineers in a well-funded Series A startup.
• Collaborate with a brilliant team dedicated to solving hard data challenges.