Senior Data Scientist

Summary

Join Nintex as a highly skilled Data Scientist to contribute to the development of GenAI features. You will design and implement advanced data science models, optimize data pipelines, and utilize Python and its libraries. Collaborate with the product development team to integrate data science methodologies into our products. Maintain and troubleshoot data pipelines, ensuring data integrity. Communicate data insights to stakeholders and stay updated on the latest technology trends. This role requires a strong technical background, proficiency in Python, and experience with data pipelines and relevant technologies.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field
• 4+ years of experience in data science and data engineering roles
• Strong proficiency in Python and major libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, etc
• Proven experience in building and managing data pipelines using Docker, RabbitMQ, and SQLite
• Familiarity with SQL and database management
• Strong problem-solving skills and the ability to work both independently and collaboratively
• Experience with generative AI technologies

Responsibilities

• Develop and implement advanced data science models
• Design and optimize data pipelines for various AI features across our product suite
• Utilize Python and its major libraries (Pandas, Scikit-learn, NumPy, etc.) to analyze and process large datasets
• Gain deep knowledge of our various AI or generative AI features across our products
• Work closely with the product development team to integrate advanced data science methodologies into our products
• Design, build, and maintain scalable data pipelines that ensure smooth operation across various products
• Optimize data processing workflows using tools like Docker, RabbitMQ, and SQLite
• Monitor and troubleshoot data pipelines, ensuring data integrity and performance
• Communicate complex data insights to non-technical stakeholders in a clear and concise manner
• Stay up-to-date with the latest technology trends and techniques in data science and implement new methodologies as appropriate

Preferred Qualifications

• Familiarity with containerization and orchestration tools like Kubernetes
• Experience with cloud platforms like AWS, Azure, or Google Cloud

Benefits

• Global Gratitude and Recharge Days
• Flexible, paid time off policy
• Employee wellness programs and counseling resources
• Meaningful peer recognition and awards
• Paid parental leave
• Invention/patenting assistance
• Community impact, paid volunteer time, and opportunities
• Intercultural learning and celebration
• Multiple tools through which to learn and grow, and an incredible global community
• Our people work in the way that best suits them and their teams - whether at home, in an office, or another place that sparks creativity, focus, and collaboration