Data Science Lead

Coins.ph

Coins.ph

Data Science
Shanghai, China
Posted on Tuesday, April 30, 2024
Join the Pioneer Crypto Brand in the Philippines!
Coins is the most established crypto brand in The Philippines and has gained the trust of more than 18 million users. Through the easy-to-use mobile app, users can buy and sell a variety of different cryptocurrencies and access a wide range of financial services.
Coins is fully regulated by the Bangko Sentral ng Pilipinas (BSP) and is the first ever crypto-based company in Asia to hold both Virtual Currency and Electronic Money Issuer licenses from a central bank.
The Data Science Lead will play a pivotal role in leading and guiding the data science initiatives within the organization, focusing on leveraging AI capabilities to automate processes and enhance efficiency in the context of PH leading crypto exchange coins.ph. The ideal candidate should possess the following skills and expertise:

Requirements:

  • Advanced Knowledge of Machine Learning and NLP: Demonstrated proficiency in machine learning algorithms, natural language processing (NLP), and deep learning techniques, with hands-on experience in applying them to solve real-world problems.
  • Programming Proficiency: Strong programming skills in languages such as Python, R, or Java, coupled with experience in using popular machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Expertise in NLP Techniques: In-depth understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, and text generation, with practical experience using NLP libraries and frameworks such as spaCy, NLTK, or Hugging Face Transformers.
  • Language Model Training: Experience in training and fine-tuning language models, such as Transformer and GPT architectures, for specific tasks like text generation, summarization, and question-answering.
  • Data Handling and Model Optimization: Proficiency in data preprocessing, feature engineering, and working with large datasets to build and optimize machine learning models.
  • Integration of AI Capabilities: Ability to integrate AI capabilities, such as language models (e.g., ChatGPT), into applications and workflows to automate tasks like content creation, customer support, and data analysis.
  • Collaboration and Stakeholder Management: Strong interpersonal skills and the ability to collaborate effectively with cross-functional teams, including business development, marketing, and customer support, to understand their requirements and deliver automated solutions that meet their needs.
  • Innovative Problem-Solving: Creative thinking and problem-solving skills to develop innovative solutions using AI and NLP technologies to address business challenges and opportunities.
  • Domain Knowledge: Familiarity with the cryptocurrency and finance domain, including market dynamics, trading strategies, and regulatory landscape, to effectively apply AI and automation in the context of a crypto exchange.
  • Communication Skills: Excellent verbal and written communication skills to convey complex technical concepts to both technical and non-technical stakeholders, and to effectively collaborate with team members across different functions.

As the Data Science Lead

  • you will be responsible for leading data science projects, mentoring team members, driving innovation, and ensuring the successful implementation of AI-powered automation solutions to optimize workflows and enhance productivity within the organization.
Join the Coins Team Now!
Meaningful Collaborations - The successful candidate will work cross-functionally with other relevant teams to carry out implementations that will improve and create an impact on customer experience.
Scalable Growth - Be part of a fast-growing organization with the vision to expand its territories outside APAC which will provide opportunities for career advancement.
A Space For Bright Ideas - Let your bright ideas be converted into meaningful changes! Coins culture welcomes new ideas backed up by data to create an impact.