Data Scientist at Charpstar
Charpstar is a VR/AR consulting company that was founded in 2016. Since then we have had some strong core values that we emphasize every day. For us it is important to share these values with others such as our clients or partners.
Augmented reality (AR) has the potential to revolutionize mobile shopping by bringing products to life in front of you through 3D models that you can size up, examine from all angles, and even place in the environment around you.
By empowering your customer with CharpstAR, it helps them to make more informed decisions about your products. Smarter buying is here and ready to disrupt the traditional way of selling goods online.
We are looking to disrupt the interior shopping business by adding another dimension to the sales process through augmented reality. Our fundamental drive is “seeing is believing” and that's exactly what we do with Web AR. More informed choices will result in the next generations shopping. we would like to call that smart shopping.
Responsibilities will include:
Development of data processing pipelines in Python using SDKs and RESTful APIs
Create, maintain, and improve data ingestion and processing pipeline architecture
Managing databases
Work with data pipelines that process large data sets
Integrate data from multiple disparate systems using APIs, Webhooks, JSON, REST, SFTP, etc.
Requirements
You will be successful in the role if you have
● confidence doing text and string manipulation, regular expressions
● Strong production-level Python experience
● Experience developing ETL data processing pipelines
● Knowledge of RESTful APIs
● Understanding of data structures such as XML, JSON, YAML, CSV and TSV
● Good working knowledge of Linux operating systems.
● Solid understanding of SQL and NoSQL databases
● Experience with cloud-based infrastructures (AWS, Azure, GCP)
● Attention to detail
● Excellent verbal and written communication skills
● Good documentation skills (e.g. writing blog posts and technical process documentation)
Benefits
Intern from home.