Staff Data Scientist - Forward Deployed Engineer
Staff Data Scientist - Forward Deployed Engineer
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$ 197000 - 220400
1 Vacancy
Job Description
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 worlds 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 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 - Forward Deployed Engineer (FDE) youll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. Youll 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. Its perfect for someone who wants to be hands-on with data science and close to the impact they generate
What Youll 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
- Ability to travel roughly 2550 % of the time sometimes short-notice tripsprimarily across North America with occasional international roll-outsto work directly on-site with clients.
- Strong engineering background demonstrated by a Bachelors degree in Data Science Computer Science and related fields OR equivalent professional experience.
Whats 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
$197000 - $220400 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 Its Like to Work at Invisible:
At Invisible were not just redefining workwere reinventing it. We operate at the intersection of advanced AI and human ingenuity pushing the boundaries of whats possible to unlock productivity and scale. Ownership is at the core of everything we do. Here you wont just execute tasksyoull 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. Were not for everyone and were okay with that. If youre looking for predictable routines this isnt the place for you. But if youre driven to create thrive in dynamic environments and want a front-row seat to the AI revolution youll 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 weve 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:
Were 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.
Equal Opportunity Statement:
Were 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.
Required Experience:
Staff IC
Employment Type
Full-Time
