Data Science Engineer

About

Description

Nintex is a global leader in process intelligence and automation, trusted by over 10,000 organizations across 90 countries. The company values innovation, collaboration, and employee well-being, offering a flexible work environment and various perks.

Responsibilities

• Develop and implement advanced data science models
• Design and optimize data pipelines for AI features
• Utilize Python and major libraries (Pandas, Scikit-learn, NumPy) to analyze large datasets
• Gain deep knowledge of AI features and collaborate with product development
• Build and maintain scalable data pipelines using technologies like Docker and RabbitMQ
• Monitor and troubleshoot data pipelines for integrity and performance
• Communicate data insights to non-technical stakeholders

Qualifications

• 3+ years of experience in data science and data engineering
• Proficiency in Python and major libraries (Pandas, Scikit-learn, TensorFlow)
• Experience with ML libraries (TensorFlow, PyTorch)
• Proven experience in building data pipelines using Docker, RabbitMQ, SQLite
• Experience with SQL and database management
• Strong problem-solving skills, both independently and collaboratively
• Experience with generative AI, Kubernetes, cloud platforms (AWS, Azure, Google Cloud)

Application instructions:

• To apply, simply click the Apply button.