Data Specialist

1 day ago

Singapore beBeeDataAnalyst Full time

About Us

We are a platform team that surfaces mapping technologies needed by all internal product teams and business units within our organization.

Our main responsibility is to build data products for ETA prediction, mapping errors detection, map-matching, location search and ranking, and reverse geocoding.

We maintain sophisticated data & machine learning systems that powers internal products by striving to provide accurate map signals that are as close to reality as possible.

Job Responsibilities
  • Design and analyze experiments to support engineering & business decisions
  • Deep-dive into analysis (especially geospatial data) to drive strategic decisions
  • Build self-serve data products such as dashboards and tables to reduce time to insights
  • Develop theoretical models to better understand customer use-cases and needs
  • Work with Data Scientists, Product Engineers and Product Managers to build, deploy, and scale data science solutions for routing systems and geospatial data
Requirements
  • 1-3 years of experience in data analysis and experimentation
  • Experience in geospatial related fields (GIS, Mapping, Geospatial, Openstreetmap, POI Data, etc.) is a plus
  • Bachelor's/Master's degree in a quantitative discipline including but not restricted to Statistics/ Econometrics / Mathematics / Physics / Computer Science / Geoinformatics
  • Proficiency in a programming language (either R, Python, including classical ML / Statistical libraries) and familiarity with SQL
  • Prior experience with applied statistics, experimental design
  • Able to tell a coherent data narrative using best practices in data visualization to convey a product insight through impactful charts
  • Proven ability to recognize business needs and ability to communicate with multiple stakeholders including PMs, business and operations
  • Understand classical machine learning algorithms under the hood (e.g supervised learning & unsupervised learning)
Why Join Our Team?
  • We are a tight-knit group that is bonded by a shared passion for growing maps using strong machine learning, engineering automation, and professional development
  • Our weekly conversations range from well, mapping and navigation to competing in friendly online gaming

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