Principal Data Scientist - AI
Anaplan · Pennsylvania-Remote, United States
Posted about 2 months ago · Previously reposted
or apply directly on Anaplan's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 55 days Anaplan's roles stay open a median of 55 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 0% of Anaplan's roles list one
- Ghost-job risk at Anaplan
- high 95 stale, 12 reposted of 142 open
- Hiring momentum
- 254 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from Anaplan's own greenhouse board since 2026-08-03. Full hiring picture for Anaplan.
About this role
The Principal Data Scientist at Anaplan will focus on developing and deploying advanced AI solutions within the company's scenario planning platform. Responsibilities include leading the research and implementation of machine learning models, architecting generative AI solutions, and designing user interfaces that enhance decision-making for clients. This role also involves collaboration with cross-functional teams and mentoring other data scientists and engineers.
- 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 Anaplan as an employer.
What you need
- 10+ years of hands-on professional experience in Artificial Intelligence, Machine Learning, or related engineering domains
- End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns
- Experience in fine-tuning LLMs for domain-specific enterprise applications
- Proficiency in Python and modern software development practices (testing, code review, CI/CD)
- Proven track record of delivering complex technical projects on time with high quality
Nice to have
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field
- Published research, patents, or significant contributions to open-source projects in the AI/ML community
- Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment
- Background in forecasting, planning, or analytics applications
- Familiarity with Anaplan or similar enterprise planning platforms
Worth weighing
- Role requires working onsite two days per week as part of a hybrid model, which may not suit all candidates
- No specific salary or benefits information provided in the posting
- Focus on cutting-edge technologies may imply a fast-paced, high-expectation work environment
Summarised from Anaplan's posting. Read the full original.
Listed by Anaplan on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
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