Data Scientist and AI Specialist - Manila - BGC

Dotco Pte. Ltd.; Taguig; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Dotco Pte. Ltd. in Manila—BGC is hiring a Data Scientist and AI Specialist to uncover actionable insights from complex data, build ML models, and automate business processes. You will translate technical findings into strategic recommendations for stakeholders.

The role focuses on end-to-end AI pipelines, model development, and producing executive dashboards to monitor ROI across production platforms. A strong background in data science and cloud-based ML is essential.

Qualifications

• Bachelor's or Master's degree in data science, computer science, statistics or related quantitative field.
• Advanced proficiency in Python, R and SQL; experience with ML libraries is required.
• Familiarity with cloud platforms and ML Ops for deploying models.

Responsibilities

• Data Preparation: Clean and pre-process large structured and unstructured datasets.
• Model Development: Design, train and fine-tune ML/deep learning models.
• AI Integration: Build scalable AI pipelines and integrate into production platforms.
• Analysis & Visualization: Conduct EDA and develop dashboards for executives to monitor ROI.
• Model Monitoring: Continuously monitor and optimize model performance.

Skills

Critical thinking

Education

Bachelor's degree

Master's degree

Tools

Python

R

SQL

scikit-learn

TensorFlow

PyTorch

pandas

Cloud platforms (AWS/GCP/Azure)

ML platforms

Job description

Hiring - Data Scientist and AI Specialist - Manila - BGC

Objective

Uncovers actionable insights from complex datasets and develops intelligent algorithms to automate business processes. Build machine learning models, implement end-to-end AI pipelines, and translate technical data into strategic recommendations for stakeholders.

Core Responsibilities - Spearhead The Following

• Data Preparation: Extract, clean, and pre-process vast amounts of structured and unstructured data from various sources.
• Model Development: Design, train, and fine-tune machine learning and deep learning models to predict outcomes and classify data.
• AI Integration: Build scalable AI pipelines and collaborate with software teams to integrate AI/ML functionalities into production platforms.
• Analysis & Visualization: Perform exploratory data analysis (EDA) and develop executive-level dashboards to monitor performance and ROI.
• Model Monitoring: Continuously monitor, evaluate, and optimize model performance to ensure operational reliability.

Required Qualifications

• Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Programming & Tools: Advanced proficiency in Python, R, and SQL. Experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Cloud & MLOps: Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML platforms.
• Soft skills: Excellent critical thinking and the ability to present complex technical concepts to non-technical stakeholders.