Data Scientist

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🏄 California, Colorado, +20 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $90k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Great Gray Trust Company

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

💼 Consulting

🛡️ Insurance

💸 Finance

Consulting • Insurance • Finance

Great Gray Trust Company is a leader in the Collective Investment Trust (CIT) space, dedicated to reshaping retirement planning with innovative solutions and fiduciary expertise. By continually evolving their offerings, Great Gray works to simplify complexities and maximize investment opportunities for advisors and plan sponsors. Their commitment to accessibility and stewardship positions them at the center of the retirement ecosystem, ensuring high-quality investment options are available to all investors, regardless of plan size.

📋 Description

• 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. • Collaborate closely with cross-functional teams to translate business requirements into data-driven insights, models, and high-quality analytical solutions.

🎯 Requirements

• 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.

🏖️ Benefits

• 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