We are looking for a Data Analyst, a person who already knows how to get data, then transform, check and augment it. Our ideal candidate is ready to grow to Data Scientist or ML Engineer position.
Team of specialists representing all roles necessary for full-cycle development: Java engineers, QA engineers, a Data scientist, a Business analyst, an Account Support specialist, Designer and others. The company CTO is close at hand, so all technical decisions are made on the UA side.
Advanced MS Excel / Google Sheets user (3y+) (perfect 5y)
Know basics of SQL
Know basics of Python (1y+) and have experience with ETL
Eager to learn DS related stuff
Considered as an advantage
Experience with Python libraries for DS
Experience with Python libraries wrapping API, REST API services
Experience with Tableau
Experience with AWS Sagemaker and other services
The stack to work with
Python 3.6, Jupyter Notebook, Dash
AWS (API Gateway, Lambda, SageMaker)
Is an indie company based in Silicon Valley, California, that provides solution used by Fortune 500 companies helping them reduce costs and increase operational efficiency.
Aggregating data from more than 40 US-based and outside US carriers the system provides visibility for global supply chains, helping to enhance collaboration between multiple suppliers, customers, and supply chain partners by providing real-time insights about delivery costs, transactions, and other relevant supply chain information. Solution provides analytics tools that help companies not only control their shipping rates but also negotiate better contracts and identify fraudulent activities.