The ideal candidate's favorite 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
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Generate actionable insights for business improvements
Qualifications
- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- 1 to 5 years' of experience in data science and/or data engineering
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, SQL)
- Knowledge of knowledge graph & LLMs will be advantageous
- Familiarity with Big Data frameworks and visualization tools (Hadoop, Spark, Superset, Iceberg....)
- Experience in data governance implementation or practices (data security, data quality and metadata management) are highly desired