PROJECT Client specializes in inventory optimization for industrial and manufacturing companies, helping them streamline inventory and optimize working capital. Their browser-based platform, hosted on Azure, is designed to manage and refine inventory processes, enabling companies to buy only what they need and proactively manage stock. Tech Stack - Frontend: React Next.js, Shadcn - Backend: Django, Python - Database: Postgres - Cloud: Azu re Team: - CEO - CTO - Data Engineers/Data Scientists ABOUT YOU As a Data Science Contractor you'll help power the client's decision intelligence engine. Think of yourself as the mastermind in a high performance sports team. Your highest priority is to work on algorithmic prototypes. This includes prototyping pieces of the core logic for our decision model and using GenAI to process unstructured data. You collaborate closely with our CTO to deliver fast evolutions of these prototypes. You are right for this role if you consider yourself a strong: - Builder: You ship code, fast. This also shows in your experience. - Problem-solver: You can break down complex problems very quickly and find new ways to tackle challenges at the frontier of technology. - Pragmatic Executer: You don't have the urge to make everything perfect, but instead focus on getting things done, even if that means using a hack. Responsibilities Develop a specific algorithmic optimization prototype for inventory operations. This includes: - AI Algorithm Development: Research, design, build, deploy, and validate the optimization algorithm for inventory operations - Data Processing: Implement data processing crucial to our core logic (we are moving a lot of data!) - Analysis: Analyse data that depicts the use cases to get a full picture of the context and impact the prototype can have. Utilize statistical and visualization tools to summarize and communicate findings effectively.Qualifications Data Science Excellence: - Minimum 3 years of practical experience in data science - ? Minimum 2 past projects in optimization - Strong understanding of both deterministic and machine learning algorithms - Proficiency in working with relational data - Experience in writing, debugging, and optimizing model prototypes for both deterministic and stochastic approaches - Solid experience with data processing and cleaning Frameworks: - Advanced Python Skills, specifically in Pandas, SQL, Pytorch. Dev Best Practices - Familiarity with collaborative workflows, including Git and code reviews. GenAI Expertise: - Proficiency with Vector Databases and chaining LLMs is a plus Strong communication skills in English (B2+) WHAT WE OFFER We have paying customers and just raised our seed from leading investors like General Catalyst, Neo, Claire Hughes Johnson (former COO of Stripe), and Sheryl Sandberg. With this early role, you'll influence our product substantially and can be part of something big, from day one. The learning experience of your life We have a strong feedback culture (daily!) and push each other to do the best work of our lives. We expect you to put up your best work and will push you even beyond that. Be part of a team - Starting date: ASAP - Minimum Duration: 3 months initially, with potential to extend to 6 months or even longer. - Minimum weekly time commitment: 40 hours - Location: Remote - Time zone: PST, the candidate will have daily meetings with CEO/CTO on 10/10:30 am PST