Senior Data Scientist
New York - Hybrid; San Francisco Bay Area - Hybrid
- Pay
USD 193,000–250,000/year — pay source
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.
Read the full posting- Work setting
Hybrid stated — work setting source
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
Listed location: New York - Hybrid; San Francisco Bay Area - Hybrid
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingAs 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.
This is a hybrid role: equal parts data scientist and technical consultant.
Scope ambiguous client problems and build statistical and ML solutions
Build, test, and deploy machine learning models for dynamic production use
Design and run experiments, including A/B tests
Integrate models into deployable systems with software engineers
Mentor other data scientists on code quality and model evaluation
From the employer’s posting
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.
Lead the scoping, development, and deployment of end-to-end statistical and ML solutions to complex operational problems
Build, test, and deploy machine learning models that operate reliably in dynamic production environments
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
Mentor other data scientists and help set best practices for code quality, experimentation, and model evaluation
Education & alternatives
- 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
Tools in this posting
- Python
- SQL
- AWS
- GCP
- Spark
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
- 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
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.
- 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
- 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)
About Invisible Technologies
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 10 days ago
- Recorded sightings
- 10
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Job description
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
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
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.
What It's Like to Work at Invisible:
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.
Country Hiring Guidelines:
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.
AI Interviewing Guidelines:
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.
Accessibility Statement:
We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557
Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
New York - Hybrid; San Francisco Bay Area - Hybrid
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
More source context
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. Country Hiring Guidelines: 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. AI Interviewing Guidelines: 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.