Data Scientist

About the Role :

Seeking a highly skilled and innovative Software Engineer to join our dynamic team. The ideal candidate will be passionate about solving complex problems related to data, labeling, and accuracy, and will play a crucial role in enhancing the performance of our platform. This role requires a deep understanding of data science principles, strong analytical skills, and the ability to develop and implement cutting-edge solutions, with a particular focus on Python.

Key Responsibilities :

1. Innovate in Data Science :

• Develop and implement innovative solutions to address complex data-related challenges using Python.
• Explore and apply advanced data science techniques to improve data labeling and Problem Solving :
• Identify and solve big problems related to data processing, management, and analysis.
• Collaborate with cross-functional teams to understand and address data-related Performance Improvement :
• Analyze and optimize the performance of our data platform.
• Implement strategies to enhance the efficiency and scalability of data processing workflows using Collaboration and Communication :
• Work closely with data scientists, engineers, and other stakeholders to ensure seamless integration of data solutions.
• Communicate complex technical concepts to non-technical stakeholders Continuous Learning :
• Stay updated with the latest trends and advancements in data science and related technologies.
• Participate in knowledge-sharing sessions and contribute to the continuous improvement of the Degree : BS, Master's in Computer Science, Data Science, Statistics, or related Skills : Proficiency in Python, Go, or similar programming Handling : Experience with large-scale data processing and Learning Frameworks : Proficiency with TensorFlow, PyTorch, Keras, or similar Skills : Strong ability to communicate technical concepts to non-technical Skills for Each Area would be a plus :
• Model Training : Skills in training and fine-tuning transformer models.
• Architecture Understanding : Deep understanding of transformer architecture and its variants.
• Prompt Engineering
• Creative Problem-Solving : Ability to design effective prompts for various AI models.
• Model Interaction : Experience in interacting with models like GPT-3 for specific Bias and Risks :
• Ethical AI : Knowledge of ethical considerations and bias in AI.
• Risk Assessment : Ability to assess and mitigate risks in AI systems.

Vision :

Natural Language Processing (NLP) :

ref : hirist.tech)