YOUR ROLE

You will lead the data science projects and mentor the junior team members. You need to have extensive knowledge of advanced Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) and fine-tuning techniques. This role requires a hands-on leader who is eager to drive projects to completion, support peers and junior data scientists, and resolve production issues promptly whenever needed.

WHAT YOU'LL DO

• Project Ownership: Take full ownership of data science projects from inception to deployment. Ensure timely and successful project delivery by overseeing the entire data science pipeline.

• Mentorship: Mentor and guide junior data scientists, fostering a collaborative and learning environment. Provide technical and professional development support to team members.

• Advanced LLM Knowledge: Apply advanced knowledge of Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) and fine-tuning. Stay updated with the latest advancements in LLM technologies and implement them in projects.

• Proactivity and Execution: Demonstrate a proactive attitude and eagerness to get things done efficiently. Drive project initiatives and ensure continuous progress.

• Peer and Junior Work Review: Review the work of peers and junior data scientists, providing constructive feedback and support. Ensure high-quality deliverables through thorough evaluation and guidance.
  

• Production Issue Resolution: Take responsibility for fixing data science-related production issues promptly. Implement robust solutions to minimize downtime and ensure smooth operations.

• Data Cleaning and Analysis: Clean and preprocess training data to ensure quality and accuracy. Perform exploratory data analysis to uncover data patterns and insights.

• Training and Retraining Models: Develop and train text classifiers for various applications. Identify and mitigate biases in models through retraining and continuous improvement.

• Machine Learning and Statistics: Apply machine learning algorithms and statistical techniques to solve complex problems. Evaluate model performance and validate results using statistical methods.

• AWS SageMaker and Bedrock Familiarity: Utilize AWS SageMaker for building, training, and deploying machine learning models. Leverage AWS Bedrock for model deployment, data management and integration tasks.

• Other duties and responsibilities as assigned.

Bold Penguin is the premier digital broker for commercial insurance. Their technology expands top-of-funnel demand and increases yield for enterprise partners. Through digital distribution, wholesale capabilities, and AI-driven insights, they transform the lifecycle of both simple and complex risks, from prospecting to placement.

Benefits

• Medical, Dental, and Vision
• Flexible PTO Policy
• 401(k) with a company match
• Employee Assistance Program
• Parental Leave
• Disability and Life Benefits​