Senior Data Scientist

NTT Philippines Solutions Inc.; Mandaluyong; On-site; PHP 1,674,000 - 2,902,000; Full time

Job summary

NTT DATA Philippines is seeking a senior data scientist to design and deliver advanced analytics, machine learning, and Generative AI solutions that drive business value. You will apply statistical modeling, build scalable data pipelines, and craft interactive dashboards using Power BI.

In this role, you will collaborate with stakeholders across functions, communicate insights clearly, and ensure data quality while shaping data-driven decision making for complex business challenges.

Qualifications

• Bachelor's degree in Data Science, Statistics, IT, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, and analytics.
• Strong proficiency in Python, R, SQL, Power BI, and data engineering practices.

Responsibilities

• Design and develop machine learning models and Generative AI solutions.
• Perform advanced analytics, statistical modeling, and insight generation.
• Build and maintain scalable data pipelines and ETL processes.
• Develop interactive dashboards and visualizations using Power BI.
• Partner with stakeholders to deliver data-driven solutions and ensure data quality.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder engagement

Education

Bachelor's degree in Data Science, Statistics, IT, Engineering

Tools

Python

R

SQL

Power BI

Data engineering practices

Job description

Shape the future of data-driven decision-making with NTT DATA by building advanced analytics, AI solutions, and modern data platforms that deliver business value.

Responsibilities

• Design and develop machine learning models and Generative AI solutions.
• Perform advanced analytics, statistical modeling, and insight generation.
• Build and maintain scalable data pipelines and ETL processes.
• Develop interactive dashboards and visualizations using Power BI.
• Partner with stakeholders to deliver data-driven solutions and ensure data quality.

Qualifications

• Bachelor's degree in Data Science, Statistics, IT, Engineering, or a related field.
• At least 5 years of experience in data science, machine learning, and analytics.
• Strong proficiency in Python, R, SQL, Power BI, and data engineering practices.
• Experience with Generative AI, statistical modeling, cloud platforms, and data pipelines.
• Excellent analytical, problem-solving, communication, and stakeholder engagement skills.