Data Scientist (Python Ecosystem)
Primary stack
Job description
About the Position
We are looking for a Data Scientist (Python Ecosystem) to join a global leader in the building materials industry. This role is pivotal in driving the company's digital transformation through AI and automation, enhancing efficiency in both production and back-office operations.
Key Focus Areas
-
Smart Production & Automation:
- Autonomous operation of heavy machinery and cement plants
- AI-driven lab testing and quality control
- Remote monitoring systems with predictive maintenance
-
Intelligent Planning & Logistics:
- Automated decision-making in order management, dispatch, and supply chain optimization
- Forecast-based production planning for improved efficiency
-
AI-Powered Back-Office Solutions:
- Automation of administrative workflows across sales, order processing, and logistics
- AI-driven support for repetitive tasks to streamline operations
Additionally, the company is enhancing document classification with automated email sorting, intelligent tagging, and topic identification.
Tech Stack
- Azure
- Databricks
- Python
- C#
- TypeScript
Responsibilities
- Develop and implement AI and machine learning models
- Analyze large datasets to identify trends and insights
- Collaborate with cross-functional teams to integrate AI solutions into business processes
Requirements
- Experience: 3 years
- Skills:
- Proficiency in Python
- Expertise in time series forecasting
- Knowledge of anomaly detection
- Experience with computer vision
Nice to Have
- Familiarity with Azure and Databricks
- Experience with C# and TypeScript
We Offer
- Competitive salary up to 6000 USD
- Full-time position
- Remote work opportunity
About the Company
A global leader in the building materials industry is undergoing a major digital transformation, leveraging AI and automation to enhance efficiency in both production and back-office operations. To drive this initiative forward, they are looking for skilled technology partners to collaborate with their internal teams.
Contact Information
- Headquarter address: BC Parus, Kyiv
- Support E-mail: [email protected]
- Contact phone: +38 063 135 4725
If you’re excited to be part of an AI-driven transformation in a global company, apply now! 🚀
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