Data Scientist

Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA – Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities • Design, build, and maintain complex AI-driven software systems. • Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness. • Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions. • Implement best practices including version control, unit testing, code reviews, and agile development cycles. • Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications • Strong Python skills, particularly for machine learning and NLP projects • Good SQL skills for querying and analyzing data • Basic C# skills – ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed • Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot) • Understanding of API and Microservices concepts • Ability to work independently and thrive in a small, agile team Preferred Experience • Bachelor’s degree in Computer Science, Engineering, or a related field • 5+ years of experience in software engineering, AI development, or ML engineering • Cloud experience (Azure or AWS) is a plus • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience with ETL processes and end-to-end ML pipeline development • Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes • Flexible hybrid or onsite role, depending on candidate preference. • Contract-to-hire with simple agreement amendment upon conversion. If you’re passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.