Senior Data Scientist

Datamatics; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Datamatics in Metro Manila seeks a Senior Data Scientist to design and deploy ML models and Generative AI applications, perform data analysis, and build scalable data pipelines. The role collaborates with stakeholders to translate data needs into actionable insights and deliver compelling dashboards.

Applicants should have 5+ years in data science, strong Python/R/SQL skills, and experience with Power BI and cloud platforms. Excellent communication in English is required.

Qualifications

• Bachelor's degree in Data Science, Statistics, IT, Engineering or related field; advanced degrees or certifications in ML/AI are a plus.
• At least five (5) years of experience in data science or related roles.
• Experience in ML, statistical modeling, and Generative AI.
• Proficiency in Python, R, SQL, and data visualization tools like Power BI.
• Experience building and maintaining data pipelines.
• Familiarity with cloud platforms such as Azure or AWS.
• Strong analytical and problem-solving skills; excellent communication and storytelling in English.

Responsibilities

• Design and develop ML models and Generative AI applications.
• Perform data analysis and statistical modeling to extract insights.
• Build and maintain scalable data pipelines and ETL processes.
• Create interactive dashboards and reports using Power BI.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality and integrity through validation and quality checks.
• Stay updated with trends in data science and visualization.
• Perform other relevant tasks as assigned.

Skills

Python

R

SQL

Data visualization

Education

Bachelor's degree in Data Science

Advanced degrees or certifications in ML/AI

Tools

Power BI

Azure

AWS

Job description

• Design and develop machine learning models and Generative AI applications.
• Perform data analysis and statistical modeling to extract insights.
• Build and maintain scalable data pipelines and ETL processes.
• Create interactive dashboards and reports using Power BI.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality and integrity through validation and quality checks.
• Stay updated with the latest trends in data science and visualization.
• Perform other relevant tasks as assigned.

Requirement and Qualification (Education & Work Experience)

Educational Requirements:

• Graduate of a Bachelor of Science in Data Science, Statistics, Information Technology, Engineering, or other related fields. Advanced degrees or certifications in machine learning or AI are an advantage.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in data science or related roles.
• Experience in machine learning, statistical modeling, and Generative AI.
• Proficiency in Python, R, SQL, and data visualization tools like Power BI.
• Experience in building and maintaining data pipelines.
• Familiarity with cloud platforms such as Azure or AWS.
• Strong analytical and problem-solving skills.
• Excellent communication and storytelling skills.
• Experience working in Agile teams and with cross-functional stakeholders.
• Ability to work with senior executives from diverse cultures.
• Excellent oral and written communication skills in English.