
Data Science Intern
1 day ago
At Brave AI Lab, we are more than just a company; we are a community of innovators, thinkers, and doers committed to pushing the boundaries of what's possible with technology. We invite you to join us on this exciting journey as we build next-generation AI systems for a brave new world. Together, let's turn challenges into opportunities and ideas into realities.
**Why Join Us**:
**Cutting-Edge Technology**: Gain hands-on experience with the latest in AI, including GPT, stable diffusion customization, vector-based solutions, and other advanced machine learning techniques.
**Diverse Challenges**: Tackle a wide array of challenges across different domains such as e-commerce, data enrichment, complex deduplications, and entity tagging, ensuring a rich and varied professional experience.
**Impactful Work**: Contribute to projects that make a real difference, from enhancing user experiences to improving data quality and accessibility.
**Learning and Growth**: Be part of a culture that values continuous learning and development, offering ample opportunities to enhance your skills and knowledge in AI and related fields.
**Entrepreneurial Spirit**: Embrace the entrepreneurial aspect of working in a dynamic and fast-paced environment, where your ideas and contributions can lead to groundbreaking solutions.Data Science Intern
**Major Responsibilities**
- Use data analyses and statistical techniques to develop solutions and guide business decision-making.
- Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction.
- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations.
- Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity.
- Analyze and solve business problems at their root.
**Basic Qualifications**
- Pursuing Bachelors or equivalent degree from a top tier Technology school.
- Record of doing Projects
- Minimum 6 months of Experience in Python.
- Problem-solving ability and passion for data.
- Excellent communication and data presentation skills.
- Fluent written and spoken English
**Preferred Qualifications**
- Hands-on experience and project-based learning in computer science, engineering, or mathematics are preferred.
- Academic experience in manipulating/transforming data, model selection, model training, cross-validation, and deployment at scale.
- Academic or Project Experience with Machine and Deep Learning toolkits such as TensorFlow and PyTorch.
- Familiarity with data processing with Python & SQL.
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