Digital Marketing Officer (Data Science)

Enable; Mandaluyong; On-site; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

HMO

Merit‑based incentives

Employee discount

Government-mandated contributions

Sick Leaves and Vacation Leaves upon-h

Job summary

Enable in Mandaluyong is seeking a Digital Marketing Data Scientist to architect and execute advanced analytics transforming multi-channel marketing data into strategic insights. You will leverage statistical modeling, machine learning, and causal inference to forecast campaigns, optimize budgets, and drive growth across Meta Ads, Google Analytics, Shopee, Lazada, TikTok, and website metrics.

The role requires strong analytical skills, knowledge of digital advertising ecosystems, and the ability

Qualifications

• Bachelor's degree in statistics, economics, mathematics, or applied math.
• Knowledge of Meta Ads, Google Analytics, SEO, TikTok, Lazada & Shopee in-app ads.
• Experience with forecasting methods, statistical analysis, and PowerBI.

Responsibilities

• Leverage advanced analytics to maximize digital marketing effectiveness.
• Develop models to forecast campaign performance and budget needs.
• Translate complex datasets into actionable insights for growth.
• Monitor advertising health across Meta Ads, Google Ads, Shopee, Lazada, and TikTok.
• Collaborate with marketing to optimize campaigns and investments.

Skills

Forecasting Methods

Statistical Analysis

PowerBI

Meta Ads

Google Analytics

SEO

TikTok Ads

Lazada Ads

Shopee Ads

Education

Bachelor's Degree in Statistics, Economics, Mathematics, Applied Math

Tools

Meta Ads

Google Analytics

Shopee Ads

Lazada Ads

TikTok Ads

Job description

Mandaluyong

Digital Marketing

Full time

JOB SUMMARY: A Digital Marketing Data Scientist is responsible for architecting and executing advanced analytical frameworks that transform complex, multi-channel marketing data into strategic business intelligence. By leveraging statistical modeling, machine learning algorithms, predictive analytics, and causal inference techniques, the role uncovers customer behavior patterns, quantifies marketing effectiveness, forecasts campaign performance, and optimizes budget allocation across the entire digital ecosystem.

KEY RESPONSIBILITIES

• The Digital Marketing Officer - Data Science is responsible for leveraging advanced analytics, statistical modeling, machine learning, and data engineering principles to maximize the effectiveness of digital advertising campaigns across multiple online marketing channels. Particularly on Meta Ads, Google Ads, Shopee, Lazada, TikTok and overall website metrics.
• This role serves as the bridge between data and digital marketing strategy, transforming complex datasets into actionable insights that improve marketing performance, optimize advertising investments, and support sustainable business growth.
• The position requires a strong understanding of digital advertising ecosystems, consumer behavior, experimentation methodologies, and modern machine learning techniques. The successful candidate will be responsible for developing predictive models, building scalable reporting solutions, identifying growth opportunities, monitoring advertising health, and supporting strategic initiatives through advanced data analysis.
• Analyze large volumes of structured and unstructured data collected from multiple digital marketing platforms to identify trends, opportunities, risks, and performance drivers.
• Develop statistical models that improve the organization's ability to anticipate future marketing performance and business outcomes. Key responsibilities include: Forecast campaign performance prior to launch, predict lead generation volumes, estimate future advertising spend requirements.

QUALIFICATIONS

• Bachelor’s Degree in Statistics, Economics, Mathematics, Applied Math
• Knowledge in Meta Ads, Google Analytics, SEO, TikTok, Lazada & Shopee in-app ads
• Conducts Forecasting Methods, Statistical Analysis, PowerBI

BENEFITS

• Government-mandated contributions
• Sick Leaves and Vacation Leaves upon hiring

PERKS

• HMO
• Merit‑based incentives
• Employee discount