A financial analytics and investment firmHiring

Director, Data Science

  • USD 139,818 to 360,000 per year
  • Remote, United States
  • Lead
  • Posted 9 days ago
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In one line

Fully remote data science leadership role at a financial firm, owning ML models, cloud pipelines and quantitative metrics for investments.

About the role

The position is 100 percent telecommuting anywhere in the US, with co-headquarters in Chicago. Work centers on machine learning for financial analytics, from model design through cloud pipelines and backend services.

At a glance

Pay
USD 139,818 to 360,000 per year
Remote scope
Remote, United States
Seniority
Lead
Skills
Java, Spring Boot, Kafka, SQL, LLMs, Generative AI
Posted
20 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Design and deploy machine learning models for financial analytics
  • Architect cloud-based data pipelines and scalable backend systems in Java and Spring Boot
  • Build APIs and integrations with Kafka and REST services
  • Develop quantitative models for IRR, MOIC, MVOC and WARF metrics
  • Lead cross-functional AI and ML projects with engineering and business teams

What they look for

  • Bachelor's degree in computer science, information systems, data science, engineering, applied mathematics or a related field, or a foreign
  • Three years designing and deploying ML models for financial analytics and two years architecting cloud data pipelines
  • Four years developing quantitative models for IRR, MOIC, MVOC and WARF, and five years with Java and Spring Boot backend systems
  • Five years with SQL and data warehousing for financial data, and two years using LLMs and generative AI for documents

Benefits

  • Discretionary bonus on top of base pay, plus medical, financial and other benefits

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Muse is available in the US only for now.

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How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Director, Data Science as a remote role for candidates in the United States.

What does this job pay?

The posting states USD 139,818 to 360,000 per year.

What experience is needed?

It is a lead role. The posting asks for: bachelor's degree in computer science, information systems, data science, engineering, applied mathematics or a related field, or a foreign; three years designing and deploying ML models for financial analytics and two years architecting cloud data pipelines; four years developing quantitative models for IRR, MOIC, MVOC and WARF, and five years with Java and Spring Boot backend systems. Skills it names include Java, Spring Boot, Kafka, SQL.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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