Data Scientist
US$193,000 – US$250,000 / yr base salary
Posted 24 Jul 2025
Advertised as “Senior Data Scientist”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$193,000 – US$250,000 / yr |
|---|
Field of studyComputer Science, Data Science, Mathematics, Statistics (or related)
Study levelBachelor's or higher
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 Senior 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 an experienced data scientist who wants to stay hands-on, lead high-impact work, and stay close to the results it generates.
What You'll Do
- Lead the scoping, development, and deployment of end-to-end statistical and ML solutions to complex operational problems, partnering with delivery leaders and clients
- Work directly with clients to frame ambiguous business challenges, explore solution paths, and translate technical insights into measurable results
- Build, test, and deploy machine learning models that operate reliably in dynamic production environments
- Explore and analyze large datasets from diverse sources to inform model design and evaluate performance under realistic constraints
- Design and run experiments (including A/B tests) to measure and improve product and business performance
- Partner with software engineers and fellow data scientists to integrate models into deployable systems
- Build reusable tooling and infrastructure that accelerates future model development and deployment
- Mentor other data scientists and help set best practices for code quality, experimentation, and model evaluation