Responsibilities
- Engage directly with clients to understand their business objectives and translate them into technical requirements.
- Develop robust methodologies for analyzing and interpreting location data to extract actionable insights and drive informed decision-making for clients.
- Actively participate in project planning, progress tracking, and client communication.
- Collaborate closely with data engineers to access, preprocess, and integrate diverse datasets for analysis, and implement complex solutions.
- Develop and deploy algorithms and models to effectively convey insights to technical and non-technical stakeholders.
Requirements
General qualifications
- Bachelor's or Master's degree preferably in Data Science, Economics, Business Analytics
- 3-5 years of experience in data science or a related field
- Fluent English both writing and oral
Technical requirements
- Strong Python and SQL skills
- Knowledge of at least one of the cloud platforms (eg. Azure, AWS, preferably GCP)
- Version control
- Familiarity with big data technologies such as Hadoop or Spark
- Traditional ML projects (supervised and unsupervised)
- Experience with geospatial analysis tools like GeoPandas or QGIS is a plus
- Proficiency with data visualization tools, experience with Folium is a plus
Nice to have
- Previous exposure to telecommunications-specific datasets or industry challenges
- Experience with location data analysis and relevant tools
Hiflylabs
Hiflylabs is a Budapest-based company with 180+ employees, offering innovative business solutions such as Data Warehouses, Business Intelligence, Data Analytics, and Application Development
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