Data Analyst Lead

4 days ago


Jakarta, Jakarta, Indonesia Paper Full time

At Paper, we are looking for a highly skilled Data Analyst Lead to join our team. As a key member of our data science department, you will be responsible for developing and deploying AI/ML models that drive business growth.

The ideal candidate will have a strong background in machine learning, with expertise in areas such as natural language processing, computer vision, and reinforcement learning. In addition to technical skills, the successful applicant will also possess excellent communication and collaboration skills, with the ability to work closely with product, design, engineering, and business teams.

We are seeking a talented Machine Learning Engineer to join our innovative team at Paper. As a key contributor to our data science initiatives, you will research and develop advanced AI/ML models, including prototypes for complex business problems. The ideal candidate will have hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras, as well as proficiency in Python and SQL.

Paper is seeking a highly motivated Artificial Intelligence Specialist to lead AI/ML initiatives focusing on innovative technologies such as OCR engines and large language models. The successful applicant will have a proven track record of designing and implementing end-to-end AI/ML pipelines for production environments, with expertise in prompt engineering and cutting-edge AI tools/frameworks.

We are looking for an exceptional Quantitative Data Scientist to join our team at Paper. As a key member of our data science department, you will collaborate closely with product, design, engineering, and business teams to understand data needs and develop AI solutions. The ideal candidate will have a strong background in statistics and machine learning, with expertise in data analysis libraries (Pandas, NumPy, Scikit-learn) and cloud platforms (GCP).

About the Role:

  • Collaborate closely with product, design, engineering, and business teams to understand data needs and develop AI solutions.
  • Research and develop advanced AI/ML models, including prototypes for complex business problems.
  • Implement and maintain AI/ML solutions for processes like document verification, credit scoring, and chatbot development.
  • Optimize and scale existing AI/ML models and workflows in production environments.
  • Lead AI/ML initiatives focusing on innovative technologies such as OCR engines and LLMs.
  • Document AI models, processes, and solutions to ensure reproducibility and knowledge sharing.
  • Drive the adoption of best practices in MLOps, including deployment, monitoring, and retraining of models.
  • Mentor team members and contribute to a collaborative, high-performance culture.

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