Invisible Technologies Logo

Invisible Technologies

Staff Data Scientist

Posted 16 Days Ago
Be an Early Applicant
Hybrid
10 Locations
Senior level
Hybrid
10 Locations
Senior level
The Staff Data Scientist will deploy AI solutions, manage projects with clients, model data, and optimize workflows in collaboration with delivery teams.
The summary above was generated by AI
About Invisible

Invisible Technologies is the AI operating system for the enterprise. Our end-to-end AI Software Platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates/measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world’s leading AI model providers, including Cohere, Microsoft, and AWS, and we have the expertise to customize AI for any industry, function, or use case.

Invisible makes AI work in the real world. In 2024, we reached $134M in revenue and were named the #2 fastest growing AI company on the Inc. 5000.

About The Role

As a Staff 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

What You’ll Do
  • Collaborate with delivery leaders to scope, develop, and deploy data science solutions to operational problems through statistical/ML modeling end-to-end
  • Identify optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
  • 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
What We Need
  • 10+ years of professional experience in data science
  • 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
  • Be willing to be on-call for our customers when situations arise
  • Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
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.

For this position, the annual salary ranges by location are:

Tier 1
$197,000$220,400 USD

An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.

Bonuses and equity are included in offers above entry level. 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’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at [email protected]

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. 

Top Skills

Numpy
Pandas
Python
PyTorch
Scikit-Learn
TensorFlow

Similar Jobs

Yesterday
In-Office
11 Locations
Expert/Leader
Expert/Leader
Artificial Intelligence • Automotive • Machine Learning • Financial Services
As a Staff Data Scientist, you will develop and deploy advanced machine learning models while collaborating across teams to drive strategic initiatives and business growth.
Top Skills: Data AnalyticsDeep LearningMachine LearningPython
Yesterday
In-Office
10 Locations
Senior level
Senior level
Artificial Intelligence • Automotive • Machine Learning • Financial Services
The Staff Applied Data Scientist will develop and deploy advanced ML models, collaborate with teams, and drive strategic initiatives to support company growth.
Top Skills: Data AnalysisDeep LearningLlmsMachine Learning
2 Days Ago
In-Office
2 Locations
Senior level
Senior level
Information Technology • Internet of Things
The Staff Data Scientist will use economics and data science to drive business decisions, analyze usage patterns, and collaborate with teams for product improvement.
Top Skills: PythonRSQL

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account