Are you passionate about leveraging cutting-edge AI capabilities to revolutionize Real-world data processing, analysis and optimization? Join Nexite's CTO Office and take the lead in harnessing our unique and proprietary data to drive impactful solutions through advanced machine learning (ML) models.

As a Senior Data Scientist at Nexite, you will spearhead the research, design, and implementation of large-scale ML models with the potential for wide-ranging impact. Your primary focus will be on creating a Foundation Model based on Nexite's extensive data repository, Facilitating both internal features and performance improvements, as well as external applications

Responsibilities:

• Research and develop innovative ML algorithms tailored to Nexite's specific retail optimization challenges.
• Design and implement scalable ML models capable of handling massive datasets, leveraging Nexite's proprietary data infrastructure.
• Collaborate closely with cross-functional teams; System, HW, SW, to integrate AI-driven solutions into existing workflows and systems.
• Continuously explore and experiment with state-of-the-art AI techniques and technologies to enhance predictive accuracy and model performance.
• Mentor junior team members and contribute to a culture of knowledge sharing and continuous learning within the organization.
  
  

Requirements:

• Advanced degree (M.Sc. or Ph.D.) in Electrical Engineering, Computer Science, or a related field, with a strong emphasis on AI and machine learning.
• Proven experience working with large-scale datasets (10^10 or more) and building complex ML models, preferably in a commercial setting.
• Expertise in handling real-world, noisy data and deploying ML solutions in production environments.
• Background in wireless communications, sensor design, or other physical systems is highly desirable, offering valuable insights into the unique challenges of Nexite's real-world data.
• Familiarity with Information Theory principles and their application in the context of AI and data science is a plus.
• Demonstrated passion for research and innovation, with a track record of tackling open-ended problems and pushing the boundaries of what's possible.
• Strong collaborative and communication skills, with the ability to work both independently and as part of a dynamic, cross-functional team.