Data Scientist

Great Gray

20d • $90,000 - $120,000 • Remote

About The Position

Great Gray is looking to add a Data Scientist onto our Data Science & AI Team. The data scientist we seek comes with strong experience in Python and its data science ecosystem (pandas, NumPy, PyDantic, FastAPI) and hands-on experience building and deploying AI/ML solutions. You will be working collaboratively within an agile team, contributing to architectural decisions, and championing best practices in software development. If you are passionate about applying data science and AI to solve real business problems, thrive in a collaborative environment, and care deeply about the quality and impact of your work you will do well here. Our team members are expected to take full ownership of our products as well as embrace efficiency and continuous improvement. We are not looking for a few rock stars, but rather very strong contributors who bring curiosity, rigor, and a collaborative spirit to every problem they tackle. This is an exciting opportunity to grow alongside Great Gray as we expand our data science and AI capabilities. Your ability to develop models, surface insights, and collaborate across teams will directly shape how we serve the retirement market.

Requirements

• Exhibits our Great Gray attributes: Growth Mindset, Disciplined Curiosity, Grit, Results Ownership, Collaboration.
• 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.

Nice To Haves

• 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.

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

Benefits

• Be an integral part of a high-growth organization!
• Competitive compensation package
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed