Data Scientist

About Neudesic

Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks, and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.

Passionate

We are currently looking for Sr. Data Scientist to become a member of Neudesic’ s Data & AI team

Key Responsibilities:

• Collect, measure, organize, and analyze large-scale data using Python, PySpark/Scala, and SQL.
• Develop and implement AI and ML models utilizing OpenAI technologies, prompt engineering, and generative AI.
• Optimize data processes and algorithms to enhance performance and scalability.
• Design, develop, and maintain databases and data models.
• Conduct data mining and segmentation techniques to extract valuable insights.
• Apply statistical methods and use statistical packages like Excel to analyze datasets.
• Create and deploy accurate algorithms to solve complex data problems.
• Utilize data visualization tools like PowerBI to present data findings effectively.
• Collaborate with cross-functional teams to integrate AI and ML solutions into business processes.
• Stay updated with the latest advancements in AI, ML, and data science to continuously improve our technology stack.

Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen