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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