Job Requirements
Skills
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Job description for Data Scientist at Eureka AI
Responsibilities
- Conduct data exploration and discovery analysis on multiple data sources, such as telco data, geolocation data, online behavioural data, and others and make them into production ready AI pipelines.
- Design novel investigative questions to ask of the data and build solutions that matter to the business.
- Research novel data mining, machine learning, and artificial intelligence methodologies and techniques that will form the core of Eureka’s AI products.
- Utilize big data technologies to build scalable distributed AI pipelines and algorithms.
Requirements
- Demonstrated ability to take high level, loosely-defined business problems and identify precise, quantitative solutions.
- Self-starter, capable of experimenting with various tools and developing own code and scripts for data manipulation, experimentation, algorithm implementation, accuracy measurements, etc.
- Working knowledge of databases and engines for structured and non-structured data, data transformation (ETL), distributed computing, software development methodologies, and languages for implementing data science, such as Python, Scala, or others.
- Expert skills at empirical research, data mining and ad-hoc analysis, and for answering hard questions and identifying new opportunities with data.
- Ability to communicate with data in a clear and precise way to business audiences and company customers.
- Experience in Big Data technologies, such as Apache Spark, Impala, Hive, and HDFS
- Familiar with basic software development skills, such as agile methodologies, testing, and version control.
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