🚀 Job Opportunity: Geospatial Data Scientist at StickEarn

About StickEarn

StickEarn is one of Indonesia's leading Out-of-Home (OOH) advertising technology companies. Through products such as StickEarn, Playlog, and LYNX SSP, we help brands transform outdoor advertising through technology, data, and creativity, making campaigns more measurable, effective, and impactful.

About the Role

We are looking for a Geospatial Data Scientist to develop data-driven methodologies and analytical models for measuring advertising audiences, understanding human mobility, and optimizing OOH media planning.

In this role, you will work with geographic, demographic, mobility, and advertising datasets to build reliable audience measurement methodologies, validate quantitative models, and translate complex data into actionable insights and media planning recommendations.

🌟 What You'll Do

• OOH Audience Measurement: Develop methodologies to estimate advertising audience metrics, including reach, impressions, frequency, audience duplication, and demographic profiles across different OOH formats.

• Geospatial & Mobility Analytics: Analyze geographic, population, transportation, and human mobility datasets to understand audience distribution, movement patterns, and potential exposure to OOH advertising.

• Statistical Modeling & Validation: Develop, test, and validate reproducible statistical or probabilistic models for audience estimation, population calibration, and extrapolation. Compare model outputs against benchmarks, assess performance across different geographic areas and inventory types, and document assumptions, limitations, and validation results.

• Media Planning & Optimization: Translate analytical findings into recommendations for OOH media selection, location combinations, audience coverage, reach, and frequency based on campaign objectives.

• Location Intelligence: Conduct catchment area analysis, spatial clustering, proximity analysis, points-of-interest (POI) analysis, and geographic segmentation to generate location-based insights.

• Measurement Framework & Research: Establish sound measurement methodologies, evaluate data sources, document analytical approaches, and continuously improve the reliability and accuracy of audience estimates.

• Media Effectiveness Analysis: Explore approaches to evaluate advertising exposure, incremental reach, footfall attribution, and campaign performance.

• Cross-functional Collaboration: Work closely with Data Engineers, Data Analysts, Product Managers, and business stakeholders to develop, validate, and operationalize data-driven solutions. Communicate analytical findings and data limitations to support informed product and business decisions.

✅ What We're Looking For

• Bachelor's degree (S1) in Statistics, Geography/GIS, Geomatics, Data Science, Transportation Engineering, or a related field, or equivalent practical experience.

• 3+ years of experience in Data Science, Geospatial Analytics, Audience Measurement, Marketing Science, Quantitative Research, or a related field, with strong proficiency in Python and SQL.

• Hands-on experience with geospatial analytics, including spatial joins, proximity analysis, geographic segmentation, and spatial data processing. Familiarity with tools such as GeoPandas, Shapely, PostGIS, QGIS, or H3.

• Strong understanding of statistics, probability, sampling, regression, and quantitative model development and validation.

• Experience working with geographic, demographic, consumer, mobility, or location-based datasets to generate actionable insights.

• Demonstrated experience validating quantitative models or analytical methodologies against benchmarks or reference data, identifying potential bias and limitations, and translating validation results into practical recommendations.

• Ability to assess data quality, explain uncertainty, document assumptions, and communicate analytical findings and limitations to both technical and non-technical stakeholders.

• Strong analytical thinking, research, problem-solving, and cross-functional collaboration skills.

• Familiarity with GPS/mobile location data, human mobility analysis, population calibration, survey weighting, or demographic attribution.

• Exposure to machine learning, geospatial predictive modeling, location intelligence platforms, Indonesian geospatial data sources (e.g., BPS or OpenStreetMap), or cloud-based geospatial tools such as BigQuery GIS.

• Experience in OOH/DOOH or media measurement, audience analytics, or media planning, with an understanding of metrics such as reach, impressions, frequency, GRP, or CPM would be an advantage.

🎁 What We Offer

• Flexibility with our hybrid working setup

• Private insurance to keep you covered

• Training budget & laptop ownership program to boost your productivity & growth

• Competitive compensation package with yearly bonus

• Flexible & anniversary leaves to support work-life balance and celebrate milestones

If you're passionate about geospatial analytics, statistical modeling, and turning complex datasets into meaningful insights that shape the future of OOH advertising, we'd love to hear from you!

Join StickEarn and help us make outdoor advertising more measurable, intelligent, and impactful.

Only shortlisted candidates will be contacted.