Principal Data Scientist - AI

Anaplan
United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

A/B Testing Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Engineering Code Review Continuous Integration Python (Programming Language) Machine Learning Open Source Technology Anaplan Software Organization
+9 more
Enterprise Software Applications Chatbots Large Language Models Prompt Engineering Deep Learning Generative AI Information Technology Machine Learning Operations Virtual Agents

Job description

  • Advanced Modeling: Lead the research, design, and implementation of advanced Machine
  • Learning (ML) and Deep Learning (DL) models to solve complex enterprise business problems.
  • Predictive Analytics: Drive innovation in Timeseries Forecasting, developing robust and scalable models that enhance predictive planning and scenario modeling capabilities.
  • Generative 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.
  • Next-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.
  • Collaborate with cross-functional teams (Engineering, Product, and Design) to transition AI models from prototype to robust, scalable production systems.
  • Technical 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., * Lead a greenfield team building transformative AI capabilities from the ground up
  • Work on cutting-edge conversational and agentic AI technologies
  • Build user-facing AI features that directly impact how businesses plan and make decisions
  • Experiment with the latest GenAI models and techniques
  • Collaborate with talented engineers, data scientists, and product designers
  • Solve unique challenges at the intersection of AI and enterprise software

LI-SP1

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We 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!

We 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.

Fraud Recruitment Disclaimer

It 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.

Anaplan does not:

  • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
  • Send 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.

Requirements

  • 10+ years of hands-on professional experience in the field of 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.
  • Extensive hands-on experience with traditional Machine Learning, Deep Learning techniques, and Timeseries Forecasting algorithms.
  • Deep technical understanding of Transformer architectures and practical experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF)
  • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.
  • Experience with agentic frameworks and autonomous agent architectures.
  • Proficiency in Python and modern software development practices (testing, code review, CI/CD)., * 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
  • Experience with A/B testing and experimentation frameworks for AI features
  • Contributions to open-source ML projects or research publications
  • Experience with model observability tools

Benefits & conditions

As set forth in Anaplan’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select… Are you Hispanic/Latino? Select… Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A “disabled veteran” is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.

An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select…

About the company

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.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our 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.

Our 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.

Supported 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!

We’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.

This 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.

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