Senior Data Scientist at Invisible Technologies in New York, NY

Job description

About Invisible Invisible is an Applied AI research company closing the gap between frontier models and the enterprise. We provide the platform infrastructure that makes AI work in production at scale: unify fragmented data, map complex processes, orchestrate and evaluate agents, and stand up hyper-personalized workflow applications fast for companies like Grubhub, Alliance Global, and Thomson Reuters. Where models fall short, we build RL environments and data to fix them. The result: a virtuous cycle between enterprise deployment and model training. Recognized as Best Predictive Analytics Platform of the Year at the 2026 AI Breakthrough Awards, Invisible makes AI work. 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 What We Need 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 Bonus (Nice to Haves): 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 What’s In It For You 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 Bonus and equity is included in all ful