Senior Data Scientist

About Invisible Technologies Invisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 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. Invisible, profitable for over half a decade, reached $134m in revenue and ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.

Invisible Technologies

Making AI Work

ProductivityProject ManagementData Clean-UpOperationsOutsourcingAutomationRobotic Process AutomationBusiness Process OutsourcingWorkflow AutomationData Transformation

I

invisibletech.ai

201-500 employees

Software Development

New York, NY

2015

Privately Held

124k LinkedIn followers

Raised $107.9M

• 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
• 6+ years of hands-on experience in data science, including client-facing or forward-deployed work
• A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent professional experience
• Strong proficiency in Python and common ML/data libraries (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, etc.), along with strong SQL skills
• A proven track record of taking models from prototype to production
• Solid grasp of statistical modeling, experimental design, model evaluation, and data debugging
• Experience working with large-scale datasets using distributed tools such as Spark
• Comfort navigating cloud environments (GCP, AWS, or similar)
• Strong code hygiene: you write clean, modular, testable code in collaborative environments
• Strong communication skills — you can explain data decisions and build trust with technical and non-technical stakeholders
• Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
• Willingness to be on-call for our customers when situations arise

Preferred

• Familiarity with MLOps practices (model tracking, versioning, reproducibility)
• Experience contributing to multi-model systems or pipelines built by larger teams of data scientists and engineers

• Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
• The annual salary range for this position, depending on level, is: $193,000 - $250,000 USD
• You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
• Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
• At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
• We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.
• Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.
• Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.