Data Scientist $$ Offline

Techstack Responds Quickly

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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