Data Scientist $$ Offline
Our client is the biggest industrial company, focused on building materials. They are leaders in delivering product excellence, exceptional customer experiences, and market innovation.
Stack of Technologies:
• GCP: BigQuery, Cloud Composer, Data Fusion, GCS, and GKE;
• Machine Learning techniques;
• Google Cloud Vision API, Computer Vision;
• SQL / BigQuery / PubSub;
• Python or Javascript;
• Statistics, Computer Science, Machine Learning, Mathematics.
About the role:
As a Data Scientist, you will work with one of the largest B2B data modules in the world using the latest cutting-edge technologies. You will be part of a team to develop algorithms and create AI learning models to optimize manufacturing processes and analyze geodata.
Responsibilities:
• Exploit Machine Learning algorithms, techniques, and best practices on the Customer data to build predictive models;
• Work with Computer Vision;
• Dive into the Customer domain to offer better solutions and modeling targets;
• Provide decent exploratory data analysis to tell the story behind the data;
• Visualization of data insights.
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.
Our benefits:
• Strong opportunities for professional and career growth - Meetups, TechClubs, Professional Library and more;
• Challenging tasks with a friendly experienced team;
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable;
• Direct communication with stakeholders and the ability to influence product development;
• Up to 50% compensation of educational courses and conferences price for professional growth;
• Discounts and bonuses of IT Loyalty program;
• Free English classes and The Business English Course;
• 23 business days leave and medical Covid support;
• Legal and accounting support;
• Regular team events and activities;
• Gifts for significant life events.
The job ad is no longer active
Job unpublished on
16 September 2021
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