or apply directly on Viaduct's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 9 days Viaduct's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Viaduct's roles list one
- Ghost-job risk at Viaduct
- high 5 stale, 0 reposted of 7 open
- Hiring momentum
- 10 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Viaduct's own greenhouse board since 2026-08-03. Full hiring picture for Viaduct.
About this role
As a Forward Deployed Engineer - Data Scientist at Viaduct, you will work within a small team to tackle real-world manufacturing problems using data science and AI. Your responsibilities include identifying opportunities, translating complex business issues into structured analytical problems, and deploying production-grade models and systems that optimize manufacturing processes. You will engage directly with stakeholders to ensure that your analytical solutions deliver measurable business value.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Viaduct as an employer.
What you need
- Real experience shipping ML models to production, not just notebooks and research
- Strong Python and SQL skills, hands-on with scikit-learn, XGBoost, or similar ML libraries
- Some hands-on experience with PyTorch and other deep learning technologies
- Strong structured problem-solving skills: able to break ambiguous business problems into hypotheses, analyses, and actionable recommendations
- Business acumen and comfort thinking about value: able to quantify the potential impact of an opportunity and connect analytical outputs to business decisions and outcomes
- Ability to frame problems and communicate a clear 'so what', not just what the data says, but what should be done about it
Nice to have
- Experience building or fine-tuning LLMs
- Developing agentic solutions and creating impact through working in an analytics consulting or other client-facing problem-solving environment
Worth weighing
- No salary listed
- The role involves working with a modern stack but also requires hands-on engineering and deployment responsibilities
- The team is remote and distributed, which may affect collaboration and onboarding
- Experience with manufacturing processes is not required, but candidates should be open to learning the domain quickly
Summarised from Viaduct's posting. Read the full original.
Listed by Viaduct on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.