Senior Data Scientist - ML Pipelines & Evaluation Lead

Cambridge University Press & Assessment | Manila; Makati; Hybrid; PHP 1,160,640 - 1,584,720; Full time

Benefits offered by this job

Regular Employment on Day 1

HMO Coverage and Life Insurance on Day

Paid Annual Leaves

Vesting/Retirement package

Opportunities for career growth

Well-being programs

Flexible schedule, hybrid work

Job summary

Cambridge University Press & Assessment | Manila is seeking a Senior Data Scientist for the Automarking for Digital Assessments team in Makati. The role focuses on developing data assets, robust pipelines, and analytical processes to support automated marking systems.

You will lead dataset design, governance, and evaluation, while mentoring teammates and collaborating with engineering and domain experts. The position offers a hybrid work setup with growth opportunities.

Qualifications

• Proven leadership of complex analytical initiatives.
• Strong Python and SQL skills with data pipelines experience.
• Experience in experimental design and ML performance metrics.
• Strong communication and collaboration with stakeholders.

Responsibilities

• Act as data science SME and set dataset development standards.
• Design and govern training, validation, and benchmarking datasets for ML models.
• Lead analytical framework design and metrics to compare model scores with human marking.
• Lead scalable data pipelines and analytical tooling for robust experiments.
• Mentor colleagues and collaborate with engineering and subject-matter experts.

Skills

Python

SQL

Data pipelines

Leadership

Experiment design

Statistical evaluation

Communication

Job description

Cambridge University Press & Assessment | Manila is seeking a Senior Data Scientist for the Automarking for Digital Assessments team in Makati. The role focuses on developing data assets, robust pipelines, and analytical processes to support automated marking systems.

You will lead dataset design, governance, and evaluation, while mentoring teammates and collaborating with engineering and domain experts. The position offers a hybrid work setup with growth opportunities.