Big Data Analytics Specialist

Metro Pacific Tollways Corporation; Quezon City; On-site; PHP 700,000 - 1,100,000; Full time

Job summary

Metro Pacific Tollways Corporation is seeking a Data Scientist to support advanced analytics by building predictive and prescriptive models and delivering actionable insights from large datasets. You will collaborate with Data Engineers to ensure reliable data pipelines and communicate findings through dashboards.

The role emphasizes applying statistical methods, developing models with feature engineering, and driving continuous improvement to support business goals in a fast-paced environment.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
• At least 2 years in data science or advanced analytics with cloud platforms (AWS, Snowflake, Azure, or GCP).
• Experience in predictive modeling, ML, and data-driven decision support.

Responsibilities

• Apply advanced statistical techniques to large datasets for forecasting and optimization.
• Develop, validate, and deploy predictive and prescriptive models with feature engineering.
• Collaborate with data engineers to ensure reliable data pipelines.
• Translate insights into actionable recommendations via dashboards and reports.
• Promote best practices in model development and monitoring.

Skills

Python

SQL

Spark

ML techniques

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related field

Tools

Power BI

Tableau

Job description

Supports advanced analytics by developing predictive and prescriptive models, analyzing large datasets, and delivering actionable insights. Collaborates with Data Engineers to ensure reliable data pipelines and communicates findings through reports and dashboards. Promotes best practices in model development and continuous improvement to support business goals.

Duties & Responsibilities

• Apply advanced statistical and analytical techniques to large-scale datasets for forecasting, customer analytics, and operational optimization.
• Develop, validate, and deploy predictive and prescriptive models with proper feature engineering and assumption checks.
• Collaborate with Data Engineers to ensure high-quality, reliable, and scalable data pipelines.
• Translate complex data insights into actionable recommendations and communicate results through dashboards and reports.
• Drive innovation and implement best practices in model development, monitoring, and continuous improvement.

Job Qualifications

Education (Major/Courses):

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.

Work Experience (Overall/Specific):

• At least 2 years of experience in data science or advanced analytis, cloud platforms such as AWS, Snowflake, Azure, or GCP.
• Proven experience in predictive modeling, machine learning, and data-driven decision support.

Technical Skills:

• Intermediate proficiency in Python, SQL, Spark, and machine learning techniques.
• Basic to intermediate skill in data visualization tools like Power BI or Tableau.
• Strong analytical, problem-solving, and data interpretation skills.

Licenses/Certificates:

• Relevant certifications in Data Science, Machine Learning, Cloud Platforms, or Analytics are a plus (e.g., AWS Certified Data Analytics, Microsoft Power BI, Google Professional Data Engineer).