{"id":584662,"url":"https://alion.io/job/anaplan-dev-principal-data-scientist-ai","title":"Principal Data Scientist - AI","company":{"id":7301,"name":"Anaplan","domain":"anaplan.com","url":"https://alion.io/company/anaplan","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":30,"ghost_share":0,"stale_share":0.467,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":128000,"max_usd":253000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":246},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RLHF","optional":false},{"name":"Transformers","optional":false},{"name":"A/B Testing","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-06-06T14:34:54Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-01T18:25:06Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":116},"description":"At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.\nWhat unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.\nOur customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.\nOur Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small.\nSupported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!\nWe're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems.\nThis role is open to candidates located in the Eastern or Central time zones. Employees who live within commuting distance of one of our offices will be expected to work onsite two days per week as part of our hybrid work model.\nYour Impact\nAdvanced Modeling: Lead the research, design, and implementation of advanced Machine\nLearning (ML) and Deep Learning (DL) models to solve complex enterprise business problems.\nPredictive Analytics: Drive innovation in Timeseries Forecasting, developing robust and scalable models that enhance predictive planning and scenario modeling capabilities.\nGenerative AI & LLMs: Architect Generative AI solutions, focusing on fine-tuning open-source and proprietary Large Language Models (LLMs) for specialized enterprise data tasks, heavily leveraging Transformer architectures.\nNext-Gen Interfaces: Design and integrate Conversational AI interfaces and Agentic AI workflows to create intuitive, autonomous user experiences that can independently execute complex planning workflows.\nCollaborate with cross-functional teams (Engineering, Product, and Design) to transition AI models from prototype to robust, scalable production systems.\nTechnical Leadership: Serve as a subject matter expert, mentoring other data scientists and engineers, and fostering a culture of technical excellence, rigorous testing, and continuous learning.\nYour Qualifications\n10+ years of hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains.\nEnd-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments.\nDeep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.\nExperience in fine-tuning LLMs for domain-specific enterprise applications.\nProficiency in Python and modern software development practices (testing, code review, CI/CD).\nProven track record of delivering complex technical projects on time with high quality.\nExtensive hands-on experience with traditional Machine Learning, Deep Learning techniques, and Timeseries Forecasting algorithms.\nDeep technical understanding of Transformer architectures and practical experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF)\nStrong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.\nExperience with agentic frameworks and autonomous agent architectures.\nProficiency in Python and modern software development practices (testing, code review, CI/CD).\nPreferred Qualifications\nM.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.\nPublished research, patents, or significant contributions to open-source projects in the AI/ML community.\nExperience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.\nBackground in forecasting, planning, or analytics applications\nFamiliarity with Anaplan or similar enterprise planning platforms\nExperience with A/B testing and experimentation frameworks for AI features\nContributions to open-source ML projects or research publications\nExperience with model observability tools\nWhat Makes This Role Exciting\nLead a greenfield team building transformative AI capabilities from the ground up\nWork on cutting-edge conversational and agentic AI technologies\nBuild user-facing AI features that directly impact how businesses plan and make decisions\nExperiment with the latest GenAI models and techniques\nCollaborate with talented engineers, data scientists, and product designers\nSolve unique challenges at the intersection of AI and enterprise software\nOur Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)\nWe believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper - this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. \nFraud Recruitment Disclaimer \nIt has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.\nAnaplan does not: \nExtend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. \nSend job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. \nAll emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to  before taking any further action in relation to the correspondence. \nCandidate data processed during our recruitment activities is handled in accordance withour Candidate Privacy Notice. 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