Senior Data Scientist I

This is a fully remote position, open to applicants in United States.

📋 Description

• Concentrate on comprehending existing models, evaluating their effectiveness, selecting the most suitable architectures, and refining them to address specific domain and business requirements.

• Work collaboratively with data engineering, product, and domain teams to convert real-world research challenges into scalable, model-driven solutions.

• Optimize and enhance large language models (LLMs) and domain-specific variants utilizing proprietary datasets.

• Assess model performance based on key metrics and benchmarks.

• Implement and operationalize systems based on LLMs and retrieval-augmented generation (RAG).

• Partner with data engineering to guarantee scalable and efficient model training, evaluation, and deployment workflows.

• Evaluate and choose models that best suit domain-specific needs and Advarra’s regulated research context.

• Collaborate with clinical and operational specialists to transform research and trial challenges into quantifiable model evaluation frameworks.

• Perform analyses on model interpretability and bias.

• Record methodologies and validation outcomes.

⛳️ Requirements

• Master's degree in Machine Learning, Computer Science, or a related quantitative field, or equivalent relevant professional experience.

• Over 5 years of practical experience in developing and fine-tuning ML or LLM models.

• Proven expertise in Python, including familiarity with a commercial framework such as PyTorch.

• Practical experience in developing, managing, and troubleshooting workflows within Databricks for data engineering, analytics, and machine learning initiatives.

• Documented strong grasp of the ML lifecycle.

• Experience with embeddings and retrieval-augmented generation (RAG).

🏝️ Benefits

• Health coverage

• Paid holidays

• Variable bonus