or apply directly on Welcome to the Jungle's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days Welcome to the Jungle's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 10% of Welcome to the Jungle's roles list one
- Ghost-job risk at Welcome to the Jungle
- high 19 stale, 0 reposted of 31 open
- Hiring momentum
- 39 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 Welcome to the Jungle's own greenhouse board since 2026-08-03. Full hiring picture for Welcome to the Jungle.
About this role
As a Senior AI & Data Scientist at Artefact, you will own the end-to-end process of model development, from problem framing to production deployment. Your responsibilities will include developing statistical and machine learning models, running experiments, building data pipelines, and presenting findings to clients. Additionally, you will mentor junior data scientists and contribute to the overall growth of the team.
- benefits
- 3/5
- freshness
- 4/5
- 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 Welcome to the Jungle as an employer.
What you need
- 3–5 years of relevant data science experience with a substantial quantitative skill set
- Strong knowledge of statistics and ML algorithms, with at least one proven experience developing and deploying models
- Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL
- Hands-on experience with LLMs: evaluation, RAG, or fine-tuning experiments
- Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI), Anthropic (Claude), or OpenAI — and familiarity with a cloud platform (GCP, Azure, or AWS)
- Comfort with AI-assisted development tools such as Claude Code, Gemini CLI, or Cursor
Nice to have
- Causal inference, time series, or advanced statistics experience
- Hugging Face Transformers, LoRA/PEFT, or open-weight model experience
- MLOps exposure: model versioning, pipelines, monitoring
- Cloud certifications, especially Google Cloud Professional Machine Learning Engineer
What you get
- Learning and Development: Work alongside a multidisciplinary team of AI, data, and consulting experts who are committed to continuous learning, knowledge sharing, and professional growth
- Hybrid Flexibility: Our hybrid work model gives you the flexibility to balance collaboration, client needs, and personal commitments
- Comprehensive Benefits: We offer a competitive benefits package that includes medical, dental, and vision coverage, a 401(k) plan with company matching, and paid parental leave
- Time to Recharge: We offer unlimited paid time off, giving you the flexibility to take the time you need
- Growth Opportunities: You'll have the opportunity to expand your skills, take on new challenges, and help shape the future of the company
Worth weighing
- No salary listed
- The role involves mentoring junior scientists, which may require additional interpersonal skills
- The position requires a strong quantitative skill set, which may be challenging for candidates without a solid background in statistics or machine learning
Summarised from Welcome to the Jungle's posting. Read the full original.
Listed by Welcome to the Jungle on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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