> 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

Canonical URL: https://nextmove.md/fde/jobs/2852f0b07e3442bd

OneSix posts a senior FDE role to build what the customer runs in US or Canada, at $140,000–$180,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Research, design, and build ML models across client use cases. Read from the employer’s posting on November 8, 2026.

- [OneSix](https://nextmove.md/fde/companies/onesix)

Posted Jun 16, 2026 by OneSix · open on Greenhouse as of Nov 8, 2026

**$140,000–$180,000** + equity US or Canada Remote

Research, design, and build ML models across client use cases.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F2852f0b07e3442bd&placement=top)
- [View posting at OneSix](https://job-boards.greenhouse.io/onesixsolutions27/jobs/4690010006)

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

$140K–$180K Below the median

Midpoint $160K · median $190K

This job $140K to $180K. 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 (not covered)
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **4+ years** hands-on machine learning experience

### Do you meet what the posting states?

The posting asks for 4+ years. How many do you have?

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

The work is remote from the US. Can you work from the US?

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**: US or Canada

- **Work arrangement**: Remote

- **Remote work restrictions**: Must be based in the US or Canada

- **Pay**:

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## The job description from OneSix

Posted by OneSix on Jun 16, 2026

### About OneSix

OneSix is a data and AI services firm. We exist to make data and AI work for the businesses where it matters most. We take on the work companies can't afford to get wrong, embedding teams sized to the problem and working inside our clients' operations as partners, not extra hands. We build durable systems that outlast the engagement, and we leave every client more capable and more profitable than we found them.

We work with Healthcare and Life Sciences, Higher Education, Manufacturing, Private Equity, and marketing organizations. We're a Snowflake Elite services partner.

Five values guide our work: Always Truthful, Own the Outcome, Believe in the Work, Team Over Ego, and Learn Here, Lead Here.

### Senior Data Scientist

OneSix is looking for a Senior Data Scientist to build and deploy cutting-edge ML solutions for a diverse client base. You'll work alongside engineers and scientists to tackle complex problems, push the state of the art, and help shape how we do ML at OneSix. While this isn't a people management role, you'll serve as a technical anchor on your team — mentoring others and influencing project direction.

### What You'll Do

- Research, design, and build ML models across a range of use cases — we work with clients across industries and problem types
- Work across the full deployment spectrum: managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized solutions built from scratch in Python on raw infrastructure
- Collaborate with engineers to integrate models into production environments and uphold MLOps best practices
- Preprocess and analyze large datasets; think critically about data quality and what it means for model reliability
- Contribute to technical discussions across the team, fostering a culture of shared learning and continuous improvement
- Translate complex ML concepts clearly for both technical collaborators and non-technical client stakeholders

### What You Bring

- 4+ years of hands-on ML experience with a track record of shipping models to production
- You have a strong suit in at least one area — predictive/classical ML, computer vision, or LLM/agentic systems — and you’re genuinely curious about adjacent domains
- Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus
- Comfortable across the full deployment stack: managed cloud services and containerized solutions built from scratch (Docker, EC2-style environments)
- Deep understanding of ML algorithms, statistical modeling, and optimization
- M.S. in a quantitative field, or equivalent depth demonstrated through shipped work
- Clear communicator who can explain their methodology and defend their choices
- Must be based in the US or Canada

### Compensation / Benefits

- Competitive compensation
- Company-paid medical, vision, dental, and wellness benefits for employees
- 401k Employer match
- Company-provided home office equipment
- Flexible vacation and sick days
- Team-oriented and supportive working environment
- Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$180,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

[View posting at OneSix](https://job-boards.greenhouse.io/onesixsolutions27/jobs/4690010006)

## About OneSix

OneSix embeds teams with clients to design, build, and operate production data and AI systems.

100–200 people

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