Data Scientist

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

As a Data Scientist, you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable data science solutions on top of our products — all while interfacing with technical and non-technical stakeholders.

This is a hybrid role: equal parts data scientist and technical consultant. It's perfect for someone who wants to be hands-on with data science and close to the impact they generate.

What You’ll Do

• Partner with delivery leaders to scope, develop, and deploy end-to-end statistical and ML solutions to operational problems
• Dig into customer problems to identify optimizations, then turn them into stable, scalable solutions
• Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant solutions
• Iterate quickly based on real-time feedback from operators and clients
• Build reusable tooling and infrastructure that accelerates future model development and deployment

What We Need

• 1+ years of hands-on experience in data science, through professional roles, internships, or coursework/research projects
• A Bachelor’s degree in Data Science, Computer Science, or a related field, or equivalent professional experience
• Strong Python skills and familiarity with libraries like NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch