Great Gray - Data Scientist
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. • 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. • Our current tech stack is a blend of existing and next-gen tools/languages, and like our company itself, our software is always evolving. • Frontend: Angular, React • Backend: C# .NET • Data Layer: MSSQL, Python, Postgres, Databricks • Infrastructure: Azure cloud • Tooling: Cypress, Docker, GitHub, Cursor, SonarQube
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
• At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment options, innovative technology, and dedicated client service. We focus on making choices clearer, transitions smoother, and the client experience more delightful. Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our clients, be an excellent business partner, and earn the trust of those who rely on us. • $90,000 - $120,000 • This base pay range is subject to change and may be modified in the future. • We have a comprehensive and competitive benefits package at Great Gray. Some of the highlights are: • · Be an integral part of a high-growth organization! • · 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 Background • Great Gray is the leading independent provider of trustee and administrative services to Collective Investment Trusts (“CITs”), with over $370 billion in CIT assets under management, across more than 1,020 funds. We proudly work with more than 80 subadvisors, including leading firms such as AllianceBernstein, American Funds, BlackRock, Franklin Templeton, MetLife, Neuberger Berman, PGIM, PIMCO and Raymond James. • CITs are more than just an investment vehicle. They represent a forward-thinking approach to retirement planning. These tax-exempt, pooled investment vehicles are offered to employer-sponsored retirement plans, like 401(k)s. CITs are comparable to mutual funds, but, because they are tailored for the institutional retirement market, they can offer distinct advantages, including efficient administration and cost-effectiveness. CITs have a history dating back over 90 years; but they have gained favor over the past decade, driven by innovations, and Great Gray has been at the forefront. • Great Gray has consistently delivered year-over-year growth at an above market rate and is investing in the continued development of its core CIT business as well as complementary administrative services and technology solutions for the retirement market. • Madison Dearborn Partners (“MDP”) purchased Great Gray from Wilmington Trust in April 2023. As a result, Great Gray is an independent company owned by funds affiliated with MDP. • Investor Background • MDP is a leading private equity investment firm based in Chicago. Since MDP's formation in 1992, the firm has raised aggregate capital of over $37 billion and has completed over 160 platform investments across nine flagship funds. MDP invests across five dedicated industry verticals, including financial services, healthcare, technology and government services. • Equal Employment Opportunity Policy
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