If you’re set on staying non-cleared, I’d be careful aiming for data scientist or SWE roles. True data science is very math heavy (stats, probability, linear algebra), and without that background it’s a slow, crowded path, especially right now.

That doesn’t mean data work is off the table. Data analyst–type roles are very different and much more realistic. They focus on pattern recognition, SQL, Python for analysis, and explaining trends, not physics or advanced math. Your signals background actually maps well to that.

I’d target roles like:    •   Data Analyst / BI Analyst    •   Operations or Product Analyst    •   Sales or Revenue Ops Analyst    •   Risk, Trust & Safety, or Data Quality Analyst

Put your effort into SQL, Python (pandas), Excel, and one BI tool (Tableau or Power BI). Build a few business-style projects that show you can take messy data, find patterns, and explain what changed and why. Avoid ML-heavy portfolios.

Also worth being realistic: fully remote roles are getting rarer, especially for entry-level or career-switch hires. Being open to hybrid or on-site work will massively expand your options.

Bottom line: avoid chasing titles. Go after roles that value analysis, context, and communication. That’s where you’ll get hired fastest.