Role Overview
The ideal candidate will leverage strong collaboration skills and data analysis to extract valuable insights from complex data sets, asking the right questions and finding the right answers.
What You Will Do
Analyze raw data, design prediction algorithms, collaborate with engineering team, and generate actionable insights for business improvements.
Why It Might Be a Fit
The ideal candidate has a deep understanding of predictive modeling, machine-learning, clustering, and classification techniques, and algorithms.
Requirements
- Bachelor’s degree or equivalent experience in quantitative field
- At least 1-2 years’ 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, C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
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