Data Scientist

Role Overview

The Data Scientist will be responsible for developing and maintaining the central data lake that captures, indexes, secures, and serves information across the project. This is a hands-on computer science and data engineering position that requires substantial ownership of the project’s central data infrastructure.

What You Will Do

The Data Scientist will design, deploy, and operate the READINESS central data lake, including the S3-compatible object store, ingestion connectors, and SQL query layer. They will also build embedding pipelines, develop AI agents, and implement security controls.

Why It Might Be a Fit

The ideal candidate is a skilled software or data engineer who enjoys collaborating across disciplines and brings experience designing data models and developing reliable systems to capture, organize, and serve complex data.

Requirements

• Bachelor’s degree in computer science, data science, engineering, or a related quantitative field
• Three or more (3+) years of related professional experience in data engineering, data science, software engineering, or research computing
• Strong programming skills and ability to write production-quality, tested, documented code
• Proficiency with SQL and relational data modeling, including scientific or operational database schemas
• Experience with object storage (S3, Ceph, or MinIO), columnar formats (Parquet), and distributed query engines (Trino, Presto, Spark, or similar)
• Working knowledge of Linux administration, containers (Docker/Kubernetes), and at least one major cloud platform (AWS or Azure)
• Familiarity with PyTorch, embedding models, vector databases, and retrieval-augmented or agentic LLM applications
• Understanding of authentication and access controls (SSO/SAML/OIDC, role-based access, audit logging) and secure research-data handling
• Ability to connect software to physical instruments and devices using network or file-based protocols; ROS/rosbag experience is a plus
• Ability to learn an unfamiliar scientific domain, translate collaborators’ requirements into working systems, manage competing requests, and communicate clearly

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Disability insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness programs
• Visa/relocation support
• Remote flexibility
• Stipends
• Bonus/commission
• Paid holidays

Tagged as: SQL