Principal Data Scientist

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Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. We are seeking an experienced Principal Supply Chain Data Scientist with deep technical mastery in time series forecasting and predictive analytics to join our US Delivery Solutions team. In this role, you will lead the customer implementations including the architecture, design/development, and deployment of state-of-the-art forecasting and demand sensing algorithms that drive multi-billion-dollar supply chain decisions for Fortune 500 clients. What you’ll do for us Technical Leadership Delivery: Lead the end-to-end discovery, architectural design, prototyping, testing, and deployment of enterprise-grade AI/ML models (e.g., demand sensing, stochastic modeling, inventory and revenue optimization). Strategic Client Partnership: Work directly with enterprise clients, solution architects, and executive stakeholders to translate complex supply chain challenges into high-value machine learning solutions. Team Development: Mentor and guide cross-functional teams of data scientists and analytics consultants, maintaining high coding standards, modular design, and MLOps best practices. AI Innovation: Leverage the latest advancements in GenAI, deep learning, time-series forecasting, and mathematical optimization to drive continuous product and client success. Cross-Functional Collaboration: Partner with data engineering and project management teams to integrate custom analytical models seamlessly into the o9 Enterprise Knowledge Graph platform. What you’ll have Experience: 8+ years of experience in Data Science and Analytics with a proven track record as a technical lead delivering customer-facing solutions. Education: Master’s or Ph.D. preferred (or Bachelor’s with equivalent experience) in Operations Research, Computer Science, Statistics, Data Analytics, Engineering, or Supply Chain. Domain Expertise: Deep knowledge of applied machine learning in supply chain planning (e.g., demand planning, price/assortment optimization, inventory management, or network optimization). Technical Stack: Advanced proficiency in Python and SQL. Modern ML/DL frameworks (PyTorch, TensorFlow, Scikit-Learn). Scaled data platforms (Databricks, Snowflake, Spark, AWS/GCP/Azure). Expertise in time-series analysis, mathematical optimization, ensemble methods, and neural networks. Communication: Exceptional storytelling and stakeholder management skills; ability to articulate complex mathematical concepts to business executives. This position at o9 Solutions has an annual salary range of $161,304-$221,792. Additionally, you may be eligible to participate in our medical, retirement, and other company-sponsored benefits. **The above information reflects the expected base salary range, although the lower and upper bounds may vary based on location, skills, experience, certifications, licenses, or other relevant factors. More about us… At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations. With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered manag

改变企业规划的未来 在o9，我们的使命是通过AI优先的方法转变决策方式，成为企业最具价值创造力的平台。通过整合孤立的规划能力并捕获数百万乃至数十亿美元的价值泄漏，我们帮助企业更智能、更快速地规划。这不仅提升了运营效率，还减少了浪费，为企业和地球带来更好的成果。Google、PepsiCo、Walmart、T-Mobile、AB InBev和Starbucks等全球领导者信任o9来优化其供应链。我们正在寻找一位经验丰富的首席供应链数据科学家，具备时间序列预测和预测分析的深厚技术造诣，加入我们的美国交付解决方案团队。在这一角色中，您将领导客户实施工作，包括架构、设计/开发以及部署最先进的预测和需求感知算法，为Fortune 500客户驱动数十亿美元的供应链决策。您将为我们做什么 技术领导交付：领导企业级AI/ML模型（例如需求感知、随机建模、库存和收入优化）的端到端发现、架构设计、原型制作、测试和部署。战略客户合作：直接与企业客户、解决方案架构师和高管利益相关者合作，将复杂的供应链挑战转化为高价值的机器学习解决方案。团队发展：指导和引导由数据科学家和分析顾问组成的跨职能团队，保持高编码标准、模块化设计和MLOps最佳实践。AI创新：利用GenAI、深度学习、时间序列预测和数学优化方面的最新进展，推动持续的产品和客户成功。跨职能协作：与数据工程和项目管理团队合作，将定制分析模型无缝集成到o9 Enterprise Knowledge Graph平台中。您需要具备什么 经验：8年以上数据科学和分析经验，并具有作为技术负责人交付面向客户解决方案的 proven track record。教育：优先考虑运筹学、计算机科学、统计学、数据分析、工程或供应链领域的硕士或博士学位（或具有同等经验的学士学位）。领域专长：深入了解应用机器学习在供应链规划中的应用（例如需求规划、价格/品类优化、库存管理或网络优化）。技术栈：精通Python和SQL。现代ML/DL框架（PyTorch、TensorFlow、Scikit-Learn）。规模化数据平台（Databricks、Snowflake、Spark、AWS/GCP/Azure）。具备时间序列分析、数学优化、集成方法和神经网络方面的专业知识。沟通：卓越的故事讲述和利益相关者管理能力；能够向业务高管清晰阐述复杂的数学概念。该职位在o9 Solutions的年薪范围为$161,304-$221,792。此外，您可能有资格参与我们的医疗、退休和其他公司赞助福利。**上述信息反映了预期基本工资范围，尽管上下限可能因地点、技能、经验、认证、执照或其他相关因素而有所不同。更多关于我们…… 在o9，透明和开放沟通是我们文化的核心。协作在各个层面蓬勃发展——层级、距离或职能从不限制创新或团队合作。在工作之外，我们鼓励志愿服务机会、社会影响倡议和多元文化庆祝活动。凭借37亿美元的估值和遍布Dallas、Amsterdam、Barcelona、Madrid、London、Paris、Tokyo、Seoul和Munich的全球布局，o9是全球增长最快的科技公司之一。通过我们的aim10x愿景，我们致力于AI驱动的管理

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