Data Scientist: Automations & Predictive Analytics

Schneider Electric; Cavite City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Schneider Electric seeks a Data Scientist to analyze diverse data, build models, and drive business insights that improve product development, marketing effectiveness, and strategic decisions. You will lead automation and visualization initiatives across stakeholder teams.

The role requires strong analytics experience, programming in SQL, Python, R, Tableau, and related tools, with a focus on delivering data-driven solutions and continuous improvement.

Qualifications

• Bachelor's degree in computer science, statistics, business math or related field.
• 3 years analytics experience and familiarity with project lifecycle concepts.
• Extensive programming experience in SQL, PL/SQL, Tableau, Python, R-programming, Visual Basic, and other languages.

Responsibilities

• Lead high-visibility projects related to automations and visualizations.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modelling to increase and optimize customer experiences, revenue generation and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.

Skills

SQL

Python

Tableau

R-programming

PL/SQL

Visual Basic

Alteryx

Education

Bachelor's degree in computer science, statistics, business math or related

MBA or related certification (a plus)

Tools

MySQL

SQL Server

PostgreSQL

Job description

Schneider Electric seeks a Data Scientist to analyze diverse data, build models, and drive business insights that improve product development, marketing effectiveness, and strategic decisions. You will lead automation and visualization initiatives across stakeholder teams.

The role requires strong analytics experience, programming in SQL, Python, R, Tableau, and related tools, with a focus on delivering data-driven solutions and continuous improvement.