or apply directly on Beamup's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days Beamup's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 0% of Beamup's roles list one
- Ghost-job risk at Beamup
- high 4 stale, 0 reposted of 4 open
- Hiring momentum
- 4 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Beamup's own greenhouse board since 2026-08-03. Full hiring picture for Beamup.
About this role
As an Applied Data Scientist at Beamup, you will focus on designing and building autonomous agentic systems that solve complex supply chain challenges. Your role involves developing multi-agent workflows, integrating machine learning models, and collaborating with cross-functional teams to enhance the capabilities of the company's AI solutions. You will also be responsible for evaluating agent performance and contributing to best practices in code and documentation.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- 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 Beamup as an employer.
What you need
- 4+ years of experience in applied data science or ML in a product environment
- MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
- Proven track record designing and implementing multi-step agentic pipelines
- Hands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or equivalent
- Strong Python coding skills; familiar with Spark for large-scale, distributed data processing
- Experience with LLM APIs and prompt engineering for agentic use cases
Nice to have
- Experience with multi-agent architectures and agent orchestration at scale
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices
- Familiarity with containerization and production engineering practices (Docker, Kubernetes)
Worth weighing
- No salary listed
- Focus on autonomous agents and agentic systems may require niche expertise
- Role involves significant collaboration across different domains, which may impact individual work style
Summarised from Beamup's posting. Read the full original.
Listed by Beamup on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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