Qualifications

The ideal candidate will possess extensive professional experience in Artificial Intelligence, Machine Learning, or related fields, with a deep understanding of Transformer architectures, prompt engineering, and conversational AI patterns. Practical experience with autonomous agent frameworks and fine-tuning large language models (LLMs) such as LoRA, QLoRA, or RLHF for enterprise applications is essential. Candidates should have a proven track record of taking models from concept to production, utilizing robust MLOps and LLMOps practices to ensure scalable, reliable, and monitored deployments. Proficiency in Python and modern software development practices—including rigorous testing, code reviews, and CI/CD pipelines—is required. A strong background in traditional machine learning techniques, deep learning, and timeseries forecasting algorithms is also necessary. Desirable qualifications include a degree in Computer Science, Artificial Intelligence, Statistics, Data Science, or related fields, experience working with cloud infrastructure (AWS, GCP, Azure), and familiarity with enterprise planning platforms like Anaplan. Additional valued skills include experience with A/B testing frameworks, contributions to open-source projects, and research publications.

Responsibilities

As a Principal Data Scientist at Anaplan, your responsibilities will include:

• Leading research, design, and implementation of advanced machine learning, deep learning, and timeseries forecasting models to address complex business and planning challenges.
• Architecting Generative AI solutions, focusing on fine-tuning LLMs for specific enterprise data tasks, and developing conversational AI workflows that create intuitive, autonomous user experiences.
• Designing and integrating next-generation AI interfaces, such as conversational agents and autonomous workflows, to enhance user engagement and operational efficiency.
• Collaborating closely with engineering, product, and design teams to transition AI prototypes into scalable, production-ready systems, ensuring they meet high standards of performance and reliability.
• Serving as a technical leader and mentor, fostering a culture of excellence, rigorous testing, and continuous learning within your teams.
• Guiding the development of AI features, contributing to strategic planning, and ensuring the deployment of robust, scalable AI solutions that deliver measurable business value.

Benefits

At Anaplan, we believe in supporting our employees' growth and well-being. We offer:

• Competitive compensation packages
• Comprehensive health insurance
• Wellness programs to promote a healthy work-life balance
• Flexible work arrangements and a collaborative environment that fosters professional development and innovation
• Access to ongoing training, mentorship programs, and opportunities for career advancement within a global organization
• A culture of recognition, celebrating achievements and milestones
• A commitment to diversity, equity, inclusion, and belonging, ensuring a respectful and supportive workplace where every individual can thrive and bring their authentic selves to work

Equal Opportunity

At Anaplan, we are committed to fostering an inclusive environment that respects and values diversity. We provide equal employment opportunities to all individuals regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other characteristic protected by law. We believe that a diverse workforce enhances our innovation, strengthens our culture, and drives our success. We are dedicated to ensuring that all employees and applicants receive fair treatment and equitable opportunities. Reasonable accommodations are available for individuals with disabilities during the recruitment process and employment. We encourage candidates from all backgrounds to apply and look forward to building a diverse and vibrant team.