Data Scientist
2 weeks ago
The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyse raw data: assessing quality, cleansing, and structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with the engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
Qualifications
- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
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