Senior Data Scientist + Machine Learning Engineer

The Credit Index; San Francisco (CA); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Neo.Tax is hiring for a Senior Data Scientist + Machine Learning Engineer in a hybrid role based in the San Francisco Bay Area.

This senior role focuses on building production ML systems to automate R&D tax credit and capitalization workflows, with data from Jira, payroll, and finance systems.

You'll work closely with product and engineering on evaluation infrastructure and metrics, and experience with LLMs is a plus.

Qualifications

• Strong ML engineering experience shipping models to production.
• Understanding of R&D tax credit domain and enterprise finance workflows.
• Ability to work in a small team with high ownership of core product systems.
• Experience with LLMs and structured data pipelines is a plus.

Responsibilities

• Build production ML systems that automate R&D tax credit workflows.
• Model diverse customer data from Jira, payroll, and finance systems.
• Ship measurable quality improvements with monitoring in production pipelines.
• Collaborate with product and engineering on evaluation infrastructure and metrics.

Skills

ML engineering

Production deployment

R&D tax credit domain

Data pipeline design

Tools

LLMs

Data integration tools

Job description

Neo.Tax is hiring for Senior Data Scientist + Machine Learning Engineer (Senior, hybrid, San Francisco Bay Area (hybrid)). The seat sits in US R&D tax credit (Section 41); Section 174 capitalization. This page covers what the posting actually asks for, how Neo.Tax tends to interview for it, and how to shape a resume for this file.

Senior Data Scientist + Machine Learning Engineer is a Senior role at Neo.Tax, hybrid, based in San Francisco Bay Area (hybrid). The public description centers on US R&D tax credit (Section 41); Section 174 capitalization.

Day-to-day signals from the posting:

• Build production ML systems that automate R&D tax credit and capitalization workflows
• Model diverse customer data from Jira, payroll, and finance systems
• Ship measurable quality improvements with monitoring in production pipelines
• Collaborate with product and engineering on evaluation infrastructure and metrics

What they ask you to bring:

• Strong ML engineering experience shipping models to production
• Understanding of R&D tax credit domain and enterprise finance workflows
• Ability to work in a small team with high ownership of core product systems
• Experience with LLMs and structured data pipelines is a plus

Treat the employer page as source of truth if a detail here and there diverges.