Senior Data Scientist, AI Development (Hybrid)

Insight; Metro Manila; Híbrido; PHP 1.400.000 - 2.100.000; Tempo integral

Benefícios oferecidos por esta vaga

Freedom to work from another location

HMO on Day 1 with 2 dependents

Resumo da vaga

Insight seeks a Data Scientist to join its AI Development team in a hybrid role based in Pasig, Philippines. You will build, evaluate, and optimize models using Databricks, PySpark, and MLflow, collaborating with data engineers and product teams to deploy data-driven solutions across finance, HR, and operations.

You must have 3+ years of experience, strong Python and SQL skills, and a track record of delivering end-to-end projects.

Qualificações

• Minimum 3 years of experience as a Data Scientist with a portfolio of completed projects.
• Expertise in Python with core data science libraries (Pandas, scikit-learn, NumPy).
• Hands-on experience with Databricks, PySpark, MLflow, and Databricks Workflows.
• Strong SQL skills for data exploration and feature engineering.

Responsabilidades

• Develop and validate ML models (regression, classification, time-series) using Databricks and Python.
• Support AI Developers with model evaluation and fine-tuning for LLM-based applications.
• Perform exploratory data analysis with PySpark and SQL to uncover insights and inform decisions.
• Design and manage features with the Databricks Feature Store for reuse across projects.
• Champion MLOps practices using MLflow for experiment tracking and model versioning.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Collaborate with Data Engineers, AI Developers, and Product Owners to productionize models.

Conhecimentos

Python

Pandas

Scikit-learn

SQL

NumPy

ML

Ferramentas

Databricks

PySpark

MLflow

Databricks Workflows

Descrição da vaga

Insight seeks a Data Scientist to join its AI Development team in a hybrid role based in Pasig, Philippines. You will build, evaluate, and optimize models using Databricks, PySpark, and MLflow, collaborating with data engineers and product teams to deploy data-driven solutions across finance, HR, and operations.

You must have 3+ years of experience, strong Python and SQL skills, and a track record of delivering end-to-end projects.