Marketing Data Scientist

  • Sector: Monroe Digital & E-Commerce
  • Contact: Patricia Gundran
  • Start Date: ASAP
  • Client: Monroe Consulting Group
  • Location: Philippines
  • Salary: PHP80000 - PHP90000 per month + Negotiable
  • Expiry Date: 16 February 2022
  • Job Ref: BBBH365849_1641792410
  • Contact Email: patricia.gundran@monroeconsulting.com.ph


Executive recruitment company Monroe Consulting Group Philippines is recruiting on behalf of a US-based data-driven marketing agency delivering creative strategies for different businesses. Our respected client is seeking an analytic and organized professional for the job of Marketing Data Scientist. The job is currently a remote work in the Philippines.

Job Summary:

The Marketing Data Scientist is responsible for writing queries and running reports, building data visualizations, performing data analysis, and coming up with or be tasked with exciting ad-hoc projects.

Key job responsibilities:

  • Build and enhance statistical models to measure campaign performance, including but not limited to predictive LTV/ROAS Models, saturation and diminishing return projections
  • Perform hands-on analyses using SQL/Python
  • Define metrics, understand A/B testing and statistical measurement of model quality
  • Lead data collection, coding, QA and harmonization and insights-driven analytics for client deliverables
  • Help to automate reporting and other recurring client deliverables
  • Partner with cross-functional teams to streamline data science solutions.
  • Develop client deliverables with clearly articulated data-driven insights and recommendations
  • Proactively identify data-driven solutions that enhance planning, measurement and optimizations based on understanding of client business challenges

Key job requirements:

  • With at least 3 years of business experience in a data science role or 1+ years of experience in a data science function for a media agency
  • Bachelor of Science in Statistics, Mathematics, Economics, Industrial Engineering or other quantitative discipline
  • Ability to write structured and efficient SQL queries on large data sets
  • Experience with Python/R for data wrangling, modeling, and analyses
  • Strong organizational, verbal and written communication and presentation skills
  • Familiarity with a variety of data tools and relational databases
  • Experience collaborating with business stakeholders to ensure that data / analytics solutions deliver successfully on business outcomes
  • Experience with Web Analytics software, ad serving platforms, campaign management, and paid search engine data sources
  • Experience working with BI tools and advanced excel skills
  • Knowledge of media and advertising (media buying, paid search and social, email, and social media platforms)
  • Ability to work in a fast-paced environment
  • Must be open to a night shift schedule