or apply directly on BEES's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 10 days BEES's roles stay open a median of 61 days
- Reposted
- No
- Salary listed
- No 0% of BEES's roles list one
- Ghost-job risk at BEES
- high 45 stale, 5 reposted of 70 open
- Hiring momentum
- 101 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-25
Measured from postings appearing on and disappearing from BEES's own greenhouse board since 2026-08-03. Full hiring picture for BEES.
About this role
The Senior Data Scientist for Generative AI will lead the development of GenAI systems, focusing on prompt-driven solutions and retrieval pipelines. Responsibilities include designing and building systems for creative generation, managing search and retrieval layers, and utilizing cloud platforms for data processing. The role involves collaboration with cross-functional teams and mentoring other data scientists while staying updated on advancements in generative AI techniques.
- benefits
- 5/5
- freshness
- 5/5
- 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 BEES as an employer.
What you need
- Bachelor's degree in computer science, engineering, mathematics, or another quantitative field
- Relevant experience in data science or applied machine learning
- Strong technical skills and a deep understanding of frontier GenAI techniques: LLMs, multimodal generation, prompt engineering, and RAG architectures
- Hands-on experience with search and retrieval systems: embedding models, vector/similarity search, hybrid search, and re-ranking
- Experience with LLM/embedding APIs (OpenAI, Azure OpenAI, or similar)
- Experience working with cloud platforms such as Azure, Databricks, and Spark
Nice to have
- Master's degree or PhD
- Experience implementing and deploying generative and retrieval models using LLM/embedding APIs
- Strong knowledge of API frameworks (e.g., FastAPI) for productionizing models as services
What you get
- Performance based bonus
- Attendance Bonus
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off
Worth weighing
- No salary listed
- The role requires staying updated with rapidly evolving GenAI technologies, which may require continuous learning and adaptation
- The position involves collaboration across multiple teams, which may lead to complex project dynamics
Summarised from BEES's posting. Read the full original.
Listed by BEES on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.
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