Data Scientist

Technical Skills:

AI and Machine Learning:

• Strong proficiency in developing and deploying AI/ML models, with expertise in one or more areas: Machine Learning, Natural Language Processing, Computer Vision, or Reinforcement Learning
• In-depth understanding of both discriminative and generative AI algorithms and architectures
• Experience designing and implementing end-to-end AI/ML pipelines for production environments
• Familiarity with large language models (LLMs) and their applications

Programming and Data Analysis:

• Strong proficiency in Python, including data analysis libraries (Pandas, NumPy, Scikit-learn)
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras
• Proficient in SQL for data extraction and analysis
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn)

Cloud and Data Engineering:

• Working knowledge of cloud platforms, preferably Google Cloud Platform (GCP)
• Experience with data pipelines and ETL processes
• Basic understanding of MLOps practices and model deployment

Preferred Technical Skills:

• Familiarity with GCP AI/ML services (e.g., Vertex AI)
• Experience with deployment frameworks like FastAPI or Streamlit
• Knowledge of version control systems (e.g., Git)
• Basic understanding of containerization (Docker)
• Familiarity with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), vector databases, and document embeddings
• Expertise in prompt engineering and knowledge of cutting-edge AI tools and frameworks

Soft Skills:

• Excellent problem-solving abilities and analytical thinking
• Strong communication skills, able to explain complex technical concepts to both technical and non-technical stakeholders
• Ability to translate business requirements into technical solutions and align AI initiatives with organizational goals
• Experience working in cross-functional teams and collaborating with diverse stakeholders
• Self-motivated with a passion for continuous learning in the rapidly evolving field of AI/ML
• Project management skills, including experience with Agile methodologies
• Ability to write clear, concise technical documentation and reports

What will you do:

• Assist in developing user training modules and extending AI Agent capabilities for various business processes.
• Support the development and integration of AI solutions for loan underwriting, including document verification and credit scoring models.
• Implement and maintain current deployed AI models for internal Paper users.
• Conduct research and development on advanced AI and LLM technologies to drive innovation and implementation.
• Prototype and test new algorithms and models to solve complex business problems.
• Work closely with cross-functional teams, including product design, engineering, and business stakeholders, to understand and meet their data needs.
• Document AI models, algorithms, and systems to ensure knowledge sharing and reproducibility.
• Participate in code reviews and provide feedback to improve code quality and best practices.