Back
Generalist mid-level role with broad tech stack and common title increases candidate competition.
Core data science skills are transferable, but geospatial mapping experience increases domain specificity.
Explicit 3+ years, mandatory data science experience and specific stack (Scala/Python/SQL) make filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze data from multiple internal sources and define relevant metrics to support business decisions.
Design, develop, and maintain data processing pipelines combining various data sources for analytics use.
Develop and monitor descriptive, predictive, and prescriptive analytics models and communicate insights clearly to stakeholders.
3+ years of professional experience as a Data Scientist.
Proficiency with Scala, Python, SQL, and modern data platforms.
Strong knowledge of statistics and experience with statistical packages for large data sets and predictive analytics.
Educational background in mathematics, economics, computer science, engineering, information management, or statistics.
Able to independently design and develop stable, performant software/data pipelines with minimal guidance.
Experienced in applying analytics in operational contexts, preferably with geospatial or map data expertise.
Capable of effectively communicating complex data insights to non-technical stakeholders in English.