Our company is looking for a Data Scientist to join a global industrial project. You will work with one of the largest B2B data sets in the world using the latest cutting edge technologies.

Required skills:
• 2+ years of experience in data science working in a production environment;
• Experience in Deep Learning and other Machine Learning techniques (e.g. regression, classification, topic modeling, time series, Neural Networks);
• Experience with GCP products such as BigQuery, Cloud Composer, Data Fusion, GCS and GKE or corresponding technologies on AWS platform;
• Skills in Google Cloud Vision API, Computer Vision;
• Strong background in SQL / BigQuery / PubSub;
• ETL scripting in Python or Javascript;
• Background in Statistics, Computer Science, Machine Learning, Mathematics;
• Intermediate level of English or higher.

Responsibilities:
• Exploit Machine Learning algorithms, techniques and best practices on the Customer data to build predictive models;
• Dive in the Customer domain to offer better solutions and modelling targets;
• Provide descent exploratory data analysis to tell the story behind the data;
• Visualization of data insights.

We offer:
• Challenging tasks & professional growth;
• A friendly experienced team;
• Up to 50% compensation of educational courses and conferences price for professional growth;
• Free English classes;
• 23 business days of paid leave;
• Fascinating corporate events;
• Gifts for significant life events.

About TechStack

Techstack is a full-stack Software Development Company with vast experience in providing Technology Solutions to companies of all sizes, from startups to global corporations.
Our software engineers have extensive experience in developing complex solutions and customizing the development process.
Techstack services range from fully autonomous, cross-functional teams to individual IT professionals that can seamlessly integrate into project.

Company website:
tech-stack.io

DOU company page:
https://jobs.dou.ua/companies/tech-stack/

Job posted on 6 January 2021
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