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- Masters in a relevant field (Computer Science, Operations Research, Statistics, Applied Math...) and 2+ years of experience applying advanced AI techniques to real-world problems or Bachelors in a relevant field and 4+ years of applied experience.
- Implemented ML algorithms from scratch.
- Worked on containerized environments (e.g., Docker).
- Previous experience in productionizing ML models.
- Great software (ML) engineering skills - optimizing code, testing/debugging code, handling exceptions, writing production-quality code
- Passion for learning and a desire to grow – Noodlers are lifelong learners
- Experience with ML pipelines (KubeFlow Pipelines, Dagster, Databricks, Airflow)
- ML expertise in time-series strongly preferred.
- Familiarity with software design patterns.
- Domain expertise in consumer products supply chain operations
- Domain experience in supply chain planning (inventory or supply planning)
- Demonstrated energy and passion that extends beyond your field of study – Are you a computer scientist who writes poetry? A mathematician who loves psychology? An engineer passionate about public policy? We want to build something with you.
Senior Data Scientist - San Francisco, CA, United States - Noodle
Description
About The Opportunity
As a member of the product development(data science & engineering)team at , you will build robust and scalable AI-native software products, contributing to an enterprise-quality codebase for our applications, platform, or engineering services. You will collaborate with other data scientists and engineers on reusable, configurable, robust product development of new features and functionalities. You will work on core aspects of scalability and reliability, building great products ready to grow and impact the world. Because development of truly AI-native software is still such a nascent field, we will be charting new paths, tackling challenging problems, and shaping the future of this technology together. Noodle's Data Scientists build advanced ML algorithms to solve impactful business problems. Our mission is to use AI for good and create a world without waste. We're predicting the "unpredictable" chaos that forces businesses at the heart of the global economy to introduce waste into their manufacturing and supply chain processes, and we're bringing business operations back into flow. Doing this requires applying modeling techniques to intriguing data problems in dynamic processes and time-series modeling. This role can be based in any major US metro area. What You'll Do KEY RESPONSIBILITIES : As a Data Scientist at , you will collaborate with a cross-functional team of experts in the supply chain planning domain, operations research, software engineering, MLOps, data visualization, and other fields to build and deploy applications. You will build a deep understanding company's tech stack and then develop, test, and deploy machine learning algorithms to improve it. As we grow, you will also develop reusable IP to help us move faster, dive deeper, and work more efficiently. About You You geek out about the latest advances in machine learning, and you are hungry to push technical boundaries... But you are more than a technologist. You embrace the "science" part of data science, and you lean into the discomfort of ambiguity and find joy in the process of exploration. Applying learning algorithms to novel problems lights you up - and you push to be sure you are asking the right questions. You have experience applying a breadth of modeling techniques and have a particular depth in predictive modeling and time-series forecasting. You harbor an insatiable curiosity, and you are excited to learn not only about new technologies, but also about business strategy. You want to noodle on tough problems with a team who will challenge you, and you want to have a voice in shaping the future of Enterprise AI. QUALIFICATIONS & EXPERIENCE: MUST HAVE