Data Scientist

Smart Communications, Inc.; Makati; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Smart Communications, Inc. is seeking a data science professional to collaborate on building, optimizing, and deploying ML models across on premises and cloud environments.

You will oversee the full model lifecycle from data prep to monitoring, prepare data for training, and ensure scalable, reliable model performance. You will work with stakeholders to translate analyses into actionable recommendations while upholding responsible AI practices, addressing bias, privacy, and ethics in line with

Qualifications

• ML/AI lifecycle from data preparation to deployment and monitoring.
• Strong Python and SQL proficiency.
• Experience with AWS/Databricks environments.
• Excellent communication to explain ML concepts to stakeholders.
• Exposure to Generative AI / LLMs and responsible AI practices.

Responsibilities

• Collaborate with data science and engineering to develop, optimize, and deploy ML models in on premises and cloud environments.
• Oversee the ML model lifecycle from data preparation and feature engineering to deployment and monitoring.
• Prepare, clean, and transform data to be used for training and inference.
• Ensure the scalability, reliability, and performance of machine learning models.
• Monitor and maintain deployed models, implement updates, and troubleshoot any issues that may arise.
• Assist in designing and maintaining machine learning pipelines, ensuring efficient data flow and model deployment.
• Translate analytical findings into clear recommendations for stakeholders.
• Ensure responsible AI practices are followed, addressing bias, fairness, and ethical considerations in line with Data Privacy, Cybersecurity, and AI policies.

Skills

Python

SQL

AWS/Databricks

Communication

Generative AI / LLMs

Responsible AI / Data Privacy

Education

Bachelor's degree in Data Science, Statistics, Computer Science, or related quantitative field

Tools

Git

CI/CD pipelines for ML

Job description

Responsibilities

• Collaborate with data science and engineering teams to develop, optimize, and deploy machine learning models in on premises and cloud environments.
• Oversee the ML model lifecycle from data preparation and feature engineering to deployment and monitoring.
• Prepare, clean, and transform data to be used for training and inference.
• Ensure the scalability, reliability, and performance of machine learning models.
• Monitor and maintain deployed models, implement updates, and troubleshoot any issues that may arise.
• Assist in designing and maintaining machine learning pipelines, ensuring efficient data flow and model deployment.
• Translate analytical findings into clear recommendations for stakeholders.
• Ensure responsible AI practices are followed, addressing bias, fairness, and ethical considerations in line with Data Privacy, Cybersecurity, and AI policies.

Qualifications

• Bachelor's degree holder of any quantitative discipline such as Data Science, Statistics, Computer Science, or related quantitative field
• 2-4+ years' experience with the full ML/AI lifecycle from data preparation to deployment and monitoring
• Strong proficiency in Python, SQL, and experience with AWS/Databricks environments
• Good communication skills to explain complex ML/AI concepts to diverse stakeholders
• Exposure to Generative AI or LLMs, with understanding of responsible AI practices (bias, fairness, data privacy)

Nice to Have

• Hands-on experience with LLMOps, RAG, or Agentic AI
• Version Control (git) and experience with CI/CD pipelines for ML model deployment