Lead Data Scientist: End-to-End ML Pipelines

RingCentral; Manila; Presencial; PHP 1.529.000 - 3.822.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive HMO package

Paid time off and sick leave

Quarterly Performance Bonus

Wellness Programs

Descripción de la vacante

RingCentral is seeking a Senior Data Scientist in Manila to design, build, and deploy data science pipelines end-to-end. You will own production pipelines, monitor performance, and collaborate with Data Engineers and business stakeholders to translate requirements into scalable data solutions.

The role requires strong Python/SQL skills, pandas/NumPy, and experience with Snowflake, scikit-learn, and ML/LLM tools.

Formación

• 5–7 years of experience in a Data Scientist or closely related role, with production delivery track record.
• Experience designing, building, and maintaining end-to-end data science pipelines in production.
• Strong Python and SQL skills with pandas/NumPy; write clean, tested production-ready code.

Responsabilidades

• Design, build, and deploy end-to-end data science pipelines, with production ownership and monitoring.
• Shape data science roadmap by identifying high-value use cases and setting technical direction.
• Support analytics by scoping and delivering data science projects using Python, Snowflake, and source systems.
• Explore data, apply statistical methods, ML, or LLMs, and validate results rigorously.
• Maintain and optimize projects, establish coding standards, tests, and documentation.
• Collaborate cross-functionally with Data Engineers, Analysts, and Business stakeholders to translate requirements into data solutions.

Conocimientos

Python

SQL

pandas

NumPy

Git

LLM APIs

Claude/OpenAI API

Herramientas

Snowflake

scikit-learn

TensorFlow

PyTorch

HuggingFace

Descripción del empleo

RingCentral is seeking a Senior Data Scientist in Manila to design, build, and deploy data science pipelines end-to-end. You will own production pipelines, monitor performance, and collaborate with Data Engineers and business stakeholders to translate requirements into scalable data solutions.

The role requires strong Python/SQL skills, pandas/NumPy, and experience with Snowflake, scikit-learn, and ML/LLM tools.