Onsite Data Scientist (Rotational Shifts)

Globalco; Davao City; On-site; PHP 446,000 - 670,000; Full time

Job summary

Globalco in Davao City, Philippines, is seeking a Data Scientist to extract insights from complex datasets, design predictive models, and collaborate with internal teams to support data-driven decisions.

The role requires strong Python or R, SQL, data visualization skills, and the ability to communicate findings to both technical and business stakeholders while working onsite in rotational shifts.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or allied discipline.
• Proven experience in data analytics, machine learning, or data engineering.
• Proficiency in Python or R, SQL, and data science libraries (Pandas, NumPy, Scikit-learn).
• Solid understanding of statistics, data processing, and predictive modeling.
• Experience with data visualization platforms (Tableau, PowerBI).
• Excellent problem solving, documentation, and communication skills.
• Willingness to work full time onsite in rotational shifts.

Responsibilities

• Collect, clean, and validate data from various sources to ensure integrity.
• Conduct statistical analysis, data mining, and machine learning.
• Build, test, and deploy predictive models tailored to business needs.
• Visualize results and present findings to technical and business stakeholders.
• Collaborate on data-driven projects with engineering, product, and operations.
• Translate business goals into well-defined analytics initiatives.
• Maintain complete documentation of data processes, workflows, and model development.

Skills

Python

R

SQL

Pandas

NumPy

Scikit-learn

Tableau

PowerBI

Data Visualization

Statistics

Education

Bachelor's degree in Data Science

Master's degree in Data Science

Statistics

Computer Science

Tools

Python

R

SQL

Tableau

Power BI

Job description

Globalco in Davao City, Philippines, is seeking a Data Scientist to extract insights from complex datasets, design predictive models, and collaborate with internal teams to support data-driven decisions.

The role requires strong Python or R, SQL, data visualization skills, and the ability to communicate findings to both technical and business stakeholders while working onsite in rotational shifts.