Data Scientist
Data Scientist
Posted on :
14-11-2024
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Salary
Not Disclosed
Salary Not Disclosed
Posted on :
14-11-2024
Job Description
PROJECT
Client specializes in inventory optimization for industrial and manufacturing companies helping them streamline inventory and optimize working capital. Their browserbased 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 youll help power the clients 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.
Problemsolver: You can break down complex problems very quickly and find new ways to
tackle challenges at the frontier of technology.
Pragmatic Executer: You dont 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 youll 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
Employment Type
Full Time
Key Skills
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