Note: The job is a remote job and is open to candidates in USA. Great Gray is an independent provider of trustee and administrative services for Collective Investment Trusts and retirement solutions, supported by innovative technology and data capabilities. The Data Scientist will build and deploy machine learning models, LLM-powered applications, RAG pipelines, and agentic AI systems while analyzing data and creating visualizations. The role also involves collaborating with cross-functional teams, improving model quality and reliability, and exploring emerging AI technologies.
Responsibilities
- Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production
- Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, vector store integration, and evaluation frameworks
- Build and iterate on agentic AI systems that leverage tool use, multi-step reasoning, and orchestration frameworks to automate complex workflows and decision-making processes
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies that inform business decisions and product strategy
- Design and build data visualizations and dashboards that communicate key metrics and insights to both technical and non-technical stakeholders
- Diagnose and resolve complex data and model issues, minimizing drift and continuously improving pipeline efficiency and model accuracy
- Drive technical excellence through rigorous model evaluation, identifying opportunities for improvement, and enforcing best practices in code quality, experiment tracking, and reproducibility
- Contribute to innovation by exploring emerging AI/ML technologies, LLM integrations (Azure AI Foundry, AWS Bedrock), and agentic tooling (Cursor, Claude) to keep our solutions at the cutting edge
- Collaborate closely with cross-functional teams to translate business requirements into data-driven insights, models, and high-quality analytical solutions
- A strong analytical mindset and the ability to translate complex data findings into clear business recommendations
- Strong collaboration skills, fostering an environment of shared learning, experimentation, and innovation
- A passion for rigorous data science practices, reproducible research, and driving excellence in model development and deployment
- The ability to balance multiple modeling and research priorities while maintaining high-quality, production-ready outcomes
- Complete other related duties as assigned
Skills
- * 3+ years of experience as a Data Scientist or ML Engineer, with a track record of delivering production-grade models
- * Proficiency in Python and the core data science stack: pandas, NumPy, scikit-learn, and FastAPI
- * Strong proficiency in SQL and experience querying large datasets in cloud environments (Azure, AWS)
- * Experience building and deploying ML models and APIs, including familiarity with model serving and monitoring
- * Experience with large language models and AI platforms such as Azure AI Foundry or AWS Bedrock
- * Experience with AI-assisted development workflows using tools like Cursor and Claude
- * A growth mindset with an eagerness to learn new technologies and adapt to evolving challenges
- * Comfortable navigating ambiguity
- * Entrepreneurial mindset to bring best practice ideas to the team
- * Hands-on experience with Azure and AWS services, including cloud-based ML workflows and managed AI services
Benefits
- Remote work from the United States
- Participation in an annual incentive bonus plan for this position
- Group medical, dental and vision insurance
- Employer-paid life and disability insurance
- Annual well-being stipend
- Eligible employees may also contribute to a 401(k) plan with an advantageous employer contribution model, upholding our mission to support our employees in retirement
Company Overview