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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.LocationSan Francisco, CA – Flexible arrangement based on candidate availability; onsite work is preferred.Engagement: 1099 Contract-to-HireImportant 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.ResponsibilitiesDesign, 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 & QualificationsStrong Python skills, particularly for machine learning and NLP projectsGood SQL skills for querying and analyzing dataBasic C# skills – ability to read and understand existing .NET / .NET Core code and make minor adjustments if neededExperience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot)Understanding of API and Microservices conceptsAbility to work independently and thrive in a small, agile teamPreferred ExperienceBachelor’s degree in Computer Science, Engineering, or a related field5+ years of experience in software engineering, AI development, or ML engineeringCloud experience (Azure or AWS) is a plusFamiliarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnExperience with ETL processes and end-to-end ML pipeline developmentExposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficialAdditional NotesFlexible 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.
