> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Senior Data Scientist (Forward Deployed)

Canonical URL: https://nextmove.md/fde/jobs/05a0e99369661e8f

Invisible Technologies posts a senior FDE role to build what the customer runs in New York, NY and 1 more, at $193,000–$250,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Own client-facing data science projects end-to-end, from framing ambiguous operational problems through deploying production ML solutions. Read from the employer’s posting on November 8, 2026.

- [Invisible Technologies](https://nextmove.md/fde/companies/invisible-technologies)

Posted Jul 24, 2025 by Invisible Technologies · open on Greenhouse as of Nov 8, 2026

**$193,000–$250,000** New York, NY +1 Hybrid

Own client-facing data science projects end-to-end, from framing ambiguous operational problems through deploying production ML solutions.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F05a0e99369661e8f&placement=top)
- [View posting at Invisible Technologies](https://job-boards.eu.greenhouse.io/invisibletech/jobs/4643917101)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$193K–$250K Above the median

Midpoint $222K · median $190K

This job $193K to $250K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **6+ years** hands-on data science, including client-facing or forward-deployed work

Background

- **Implementation and data engineering**
- **Forward deployed engineering**

### Do you meet what the posting states?

The posting asks for 6+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY · San Francisco, CA. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY · San Francisco, CA

- **Work arrangement**: Hybrid

- **Remote work restrictions**: Hybrid in New York or the San Francisco Bay Area.

- **Pay**:

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- [Other jobs at Invisible Technologies (3)](https://nextmove.md/fde/companies/invisible-technologies)

## The job description from Invisible Technologies

Posted by Invisible Technologies on Jul 24, 2025

### 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 full-time, non commission 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.

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.

### 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.*

** *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.*

[View posting at Invisible Technologies](https://job-boards.eu.greenhouse.io/invisibletech/jobs/4643917101)

## About Invisible Technologies

Enterprise AI platform combining data infrastructure, workflow mapping, evaluations, agentic automation, and on-demand human experts to make AI systems work in production.

Late-stage private · 200–500 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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