or apply directly on Dataiku's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 7 days Dataiku's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 4% of Dataiku's roles list one
- Ghost-job risk at Dataiku
- high 14 stale, 1 reposted of 28 open
- Hiring momentum
- 38 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 Dataiku's own greenhouse board since 2026-08-03. Full hiring picture for Dataiku.
About this role
As a Senior Data Scientist at Dataiku, you will engage directly with customers to co-design and implement AI solutions, ensuring they achieve measurable business outcomes. Your role involves hands-on delivery of production-grade AI projects, training users on the Dataiku platform, and providing strategic guidance to enhance customer adoption and value realization. You will also be responsible for solution architecture and managing customer engagements effectively.
- benefits
- 1/5
- 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 Dataiku as an employer.
What you need
- 8 years of experience in Advanced Analytics & AI, ideally in a consulting or customer-facing data science/AI solution engineering role
- 5 years of hands-on experience with Python and SQL
- 5 years of experience designing, building, and deploying production-grade AI & ML models
- A track record of owning technical outcomes directly with customers
- Strong curiosity and appetite for learning new topics, tools, and techniques
- Empathy and collaboration skills
Nice to have
- Experience using Large Language Models (LLMs), Agents and Machine Learning
- Experience with data visualization frameworks such as Dash, Streamlit, RShiny or JavaScript
- Experience consuming and/or building APIs
- Experience with Data Engineering and MLOps practices
- Familiarity with enterprise data science platforms and tools
Worth weighing
- Role emphasizes customer engagement and ownership, which may not suit those preferring a more traditional data science role
- No salary or specific benefits mentioned in the posting
- The position requires a blend of technical and non-technical skills, which may be challenging for some candidates
Summarised from Dataiku's posting. Read the full original.
Listed by Dataiku on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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