Senior Data Scientist

About Elements

Elements is building a foundational platform to automate and connect high-stakes finance workflows. We are in advanced beta, live with early customers, and preparing for a full production launch. The product is already operating in demanding, real-world environments. 
This is a rare moment to join early with real traction and low execution risk. We are well funded, actively used by multiple customers, and seeing strong inbound demand as we prepare to scale.

The Opportunity

We are hiring a Senior Data Scientist to architect and build the data infrastructure, AI pipelines, and intelligent workflow systems that power mission‑critical finance operations. This high‑ownership, fully remote role includes close collaboration with the founders and direct influence on the platform’s intelligence layer.

What You’ll Do

• Build scalable data pipelines, ETL/ELT processes, and real‑time workflows.

• Architect the data and AI foundation enabling advanced automation.

• Develop, optimize, and productionize ML/LLM models and pipelines.

• Own key components of the data platform as we scale into production.

• Define best practices for data engineering and AI lifecycle management.

• Collaborate cross‑functionally to translate complex finance needs into intelligent systems.

  
  

Who We’re Looking For

• Deep experience with data architecture and distributed systems.

• Proven ability to build production‑grade data and AI systems end to end.

• Strong understanding of scalability, reliability, and performance constraints.

• Comfortable operating in zero‑to‑one, high‑ambiguity environments.

• Strong technical judgment and ownership mindset.

• Background in B2B SaaS or Fintech is a plus.

  
  

Why Join Elements

• Ownership in a category‑defining platform.

• Meaningful equity as a founding team member.

• Direct impact on modern finance automation and intelligence.

• A senior, engineering‑focused team solving hard problems.