Data Scientist

Role overview

Responsibilities

• check_circle Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
• check_circle 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.
• check_circle 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.
• check_circle Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies that inform business decisions and product strategy.
• check_circle Design and build data visualizations and dashboards that communicate key metrics and insights to both technical and non-technical stakeholders.
• check_circle Diagnose and resolve complex data and model issues, minimizing drift and continuously improving pipeline efficiency and model accuracy.
• check_circle Drive technical excellence through rigorous model evaluation, identifying opportunities for improvement, and enforcing best practices in code quality, experiment tracking, and reproducibility.
• check_circle 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.
• check_circle Collaborate closely with cross-functional teams to translate business requirements into data-driven insights, models, and high-quality analytical solutions.
• check_circle A strong analytical mindset and the ability to translate complex data findings into clear business recommendations.
• check_circle Strong collaboration skills, fostering an environment of shared learning, experimentation, and innovation.
• check_circle A passion for rigorous data science practices, reproducible research, and driving excellence in model development and deployment.
• check_circle The ability to balance multiple modeling and research priorities while maintaining high-quality, production-ready outcomes.
• check_circle Complete other related duties as assigned
• check_circle Exhibits our Great Gray attributes: Growth Mindset, Disciplined Curiosity, Grit, Results Ownership, Collaboration.
• check_circle 3+ years of experience as a Data Scientist or ML Engineer, with a track record of delivering production-grade models.
• check_circle Proficiency in Python and the core data science stack: pandas, NumPy, scikit-learn, and FastAPI.
• check_circle Strong proficiency in SQL and experience querying large datasets in cloud environments (Azure, AWS).
• check_circle Experience building and deploying ML models and APIs, including familiarity with model serving and monitoring.
• check_circle Experience with large language models and AI platforms such as Azure AI Foundry or AWS Bedrock.
• check_circle Experience with AI-assisted development workflows using tools like Cursor and Claude.
• check_circle A growth mindset with an eagerness to learn new technologies and adapt to evolving challenges.
• check_circle Comfortable navigating ambiguity.
• check_circle Entrepreneurial mindset to bring best practice ideas to the team.
• check_circle Hands-on experience with Azure and AWS services, including cloud-based ML workflows and managed AI services.
• check_circle Frontend: Angular, React
• check_circle Backend: C# .NET
• check_circle Data Layer: MSSQL, Python, Postgres, Databricks
• check_circle Infrastructure: Azure cloud
• check_circle Tooling: Cypress, Docker, GitHub, Cursor, SonarQube
• check_circle This base pay range is subject to change and may be modified in the future.

Benefits

• check_circle Be an integral part of a high-growth organization!
• check_circle Competitive compensation package
• check_circle Group medical, dental and vision insurance
• check_circle Employer-paid life and disability insurance
• check_circle Annual well-being stipend
• check_circle 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