Senior Data Scientist, AI/ML Pipelines & Production

RingCentral; Manila; On-site; PHP 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Comprehensive HMO package (medical and

Paid time off and paid sick leave

Quarterly Performance Bonus

Employee Assistance and Wellness

Job summary

RingCentral is seeking a senior data scientist to lead end-to-end data pipelines and ML/AI initiatives in a collaborative, production-focused team in Metro Manila. You will shape the technical direction and translate business needs into reliable data solutions using Python, SQL, and modern ML tools.

You'll work with data engineers, analysts, and stakeholders to implement robust pipelines, validate models, and drive responsible AI adoption across projects.

Qualifications

• 5–7 years of experience as a Data Scientist or similar, with production delivery experience.
• Proven ability to design, build, and maintain end-to-end data science pipelines.
• Strong Python and SQL skills; production-grade, tested code required.

Responsibilities

• Design, build, and deploy data science pipelines end-to-end and own them in production.
• Shape the data science roadmap and set technical direction with stakeholders.
• Translate analytics requirements into robust Python code and automate calculations.
• Support analytics projects across Python, Snowflake, and other sources.
• Apply statistics, ML, or LLMs; validate results and weigh trade-offs.
• Maintain and improve projects; enforce code reviews, testing, and docs.
• Evaluate new AI tools/frameworks and establish best practices.
• Collaborate with Data Engineers, Analysts, Warehouse, and business teams.

Skills

Python

SQL

pandas

NumPy

Git

Snowflake

scikit-learn

TensorFlow

PyTorch

Hugging Face

LLM APIs

Claude/OpenAI

Claude Code / Codex

Tools

Snowflake

Git

VS Code / IDEs

Job description

RingCentral is seeking a senior data scientist to lead end-to-end data pipelines and ML/AI initiatives in a collaborative, production-focused team in Metro Manila. You will shape the technical direction and translate business needs into reliable data solutions using Python, SQL, and modern ML tools.

You'll work with data engineers, analysts, and stakeholders to implement robust pipelines, validate models, and drive responsible AI adoption across projects.