Data Scientist - San Francisco, United States - Noodle
Description
About The OpportunityNoodle'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.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.
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.
This role can be based in any major US metro area.About You
QUALIFICATIONS &
EXPERIENCE:
MUST HAVE
Masters in a relevant field (Computer Science, Operations Research, Statistics, Applied Math...) or 2+ years of experience applying advanced AI techniques to real-world problems.
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
HELPFUL TO HAVE
Experience with ML pipelines (KubeFlow Pipelines, 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.
AboutAt our mission is to create a world without waste.
We think traditional rules-based software is failing business leaders, so we're developing next-generation Probabilistic Supply Chain Planning software that leverages Enterprise Artificial Intelligence to tackle volatility in supply chains.
We are a diverse and interdisciplinary team, looking for collaborative and intellectually curious Noodlers hungry to learn from other perspectives, create together, and have fun along the way.