Hybrid Data Scientist: AI, ML & Production Analytics

Symbos; Pasig; Hybrid; PHP 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Hybrid work environment

Professional growth

Continuous learning

Job summary

Symbos, an Australian-led outsourcing and business solutions organisation, is seeking an experienced Data Scientist to design, develop, and deploy advanced analytics, machine learning, and AI solutions that drive better business decisions and operational performance.

You will work with business, strategy, technology, and data stakeholders to transform complex challenges into scalable, production-ready models, build data pipelines, and stay current with cloud platforms and visualization tools.

Qualifications

• Bachelor's degree in a quantitative field.
• Proven experience in Data Science or ML.
• Strong Python and SQL skills.
• Experience with large, complex datasets.
• Knowledge of ML methodologies and statistical modeling.
• Experience with data pipelines and ETL.
• Excellent problem-solving and communication.
• Ability to collaborate with stakeholders.

Responsibilities

• Design, develop, and deploy predictive models and advanced analytics frameworks.
• Build scalable ML algorithms and AI-driven solutions using Python and SQL.
• Conduct exploratory data analysis, feature engineering, model validation, tuning, and monitoring.
• Develop solutions using Agentic AI and Generative AI.
• Develop and optimize data pipelines, ETL processes, and transformations.
• Work with structured and unstructured data across enterprise and cloud environments.
• Deliver scalable, automated, reliable, production-ready analytics.

Skills

Python

SQL

Data Science

Machine Learning

Analytics

ETL pipelines

Education

Bachelor's degree in Data Science/CS/Statistics

Tools

Power BI

Tableau

Azure

AWS

GCP

Job description

Symbos, an Australian-led outsourcing and business solutions organisation, is seeking an experienced Data Scientist to design, develop, and deploy advanced analytics, machine learning, and AI solutions that drive better business decisions and operational performance.

You will work with business, strategy, technology, and data stakeholders to transform complex challenges into scalable, production-ready models, build data pipelines, and stay current with cloud platforms and visualization tools.