Position: Data Scientist
Company: KindGeek
Experience required: 3y
Category: Data Science
English level: upper
Published: 2022-09-01T00:00:00+03:00

Responsibilities:
⦁	Collaborate closely with other Data Engineers, Software Development Engineers (SDEs), Analytics Engineers (AEs), Data Scientists (DSs) and Infrastructure Engineers (IEs) in the our technology team. 
⦁	Focus on building a modular, flexible data engineering infrastructure that we can iteratively improve on continuously. Your customers will include eCommerce, marketing, supply chain, finance.
⦁	Make business development, and legal.
⦁	Understand that our data is a strategic resource, and will build data products to support every aspect of  our business. 
⦁	Build data model(s) in addition to our data infrastructure (in collaboration with the Director of Analytics and Head of Infrastructure Engineering. 

A successful team member will have:  
Basic Qualifications:  
⦁	Bachelor's degree in Computer Science, Engineering, Mathematics, or an equivalent  
⦁	combination of technical education and work experience 
⦁	 4+ years in Data Engineering, Business Intelligence, or  
⦁	related field with a track record of thinking about data as a strategic resource; 
⦁	onboarding raw datasets, designing data models that restructure the data to maximize  
⦁	flexibility and minimize work for downstream consumers, and creating detailed  
⦁	documentation to support data governance, exploration and maintenance 
4+ years of relevant work experience  in a role requiring collaboration  
⦁	with software developers, analytics engineers (e.g., business intelligence) and data science 
⦁	Experience in data modeling, ETL development, and data warehousing with an emphasis on  
⦁	thinking of data as a product on its own (i.e., independent of projects or use  cases).  
⦁	Experience working with AWS data technologies (e.g., RDS, Redshift, S3, EMR) 
⦁	Proven success in communicating with users, other technical teams, and senior leadership to collect requirements, describe data modeling decisions and data engineering strategy 
⦁	Ability to handle multiple competing priorities in a fast-paced environment with minimal outside direction, while constantly advancing long term goal 
⦁	Excellent verbal and written communication skills.

Project: was founded in 2020 by a group of partners who shared a common vision to create the leading next-generation e-commerce platform and scale it quickly. The company operates globally, with our headquarters located in Miami and additional teams based in Berlin, London, New York, and Seattle.  
 Company acquires e-commerce businesses that operate on and off Amazon as the company reaches their maximum scale without further external resources. It integrates the acquired e-commerce businesses into a share set of resources, optimizes the business operations and economics, and expands to new product lines and geographies.