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Full Stack Data Scientist (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Full Stack Data Scientist. in the . United States. .. The Full Stack Data Scientist will be instrumental in driving AI and machine learning initiatives that power high-impact social good solutions. This role combines deep analytical skills with engineering expertise to build, deploy, and maintain production-ready models and data pipelines. You will collaborate closely with Product and Engineering teams in a distributed Agile environment, contributing to AI-driven features that enhance decision-making and optimize outcomes. The position offers opportunities to influence model architecture, implement scalable solutions, and mentor peers on best practices while maintaining rigorous standards for reliability, security, and ethics. The role provides a chance to directly impact non-profits, public sector organizations, and philanthropic initiatives, helping maximize their positive effect on society.. . Accountabilities:. Own the end-to-end lifecycle of predictive and generative models, including problem definition, solution design, feature engineering, modeling, validation, deployment, and monitoring.. Build and maintain production-ready data pipelines using SQL, dbt, and Snowflake.. Develop models in Python and deploy them in cloud environments, including AWS services such as Bedrock, SageMaker, and Lambda.. Collaborate with Product and Engineering teams on cross-functional projects in a remote and distributed Agile environment.. Monitor and continuously improve model performance in production, ensuring reliability, scalability, and ethical AI practices.. Translate analytical insights into actionable business outcomes for social impact initiatives.. . 3+ years of experience in Data Science on a Product team or related role; Agile experience preferred.. Hands-on experience with AWS Bedrock, SageMaker, or other LLM providers.. Strong proficiency in SQL and Python; experience with dbt and Snowflake.. Knowledge of data governance, monitoring, and production deployment practices.. Experience working on remote or distributed teams.. Familiarity with AI ethics and responsible AI practices.. Strong problem-solving, communication, and collaboration skills with a commitment to social impact.. . Company Location: United States.