Data Scientist

Invisible Technologies • San Francisco, CA

10d • $122,000 - $199,000 • Hybrid

About The Position

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.

Requirements

• 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
• Solid understanding of statistical modeling end-to-end
• Strong communication skills — you can explain data decisions to non-technical stakeholders
• Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
• Willingness to be on-call for our customers when situations arise

Responsibilities

• 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

Benefits

• Bonuses and equity are included in all full-time offers.
• Additional details on total compensation and benefits will be discussed during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level