Job Description
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.
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Responsibilities
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- Collect, clean, and preprocess structured and unstructured data.
- Build and evaluate machine learning models for prediction and classification.
- Use Python, SQL, Pandas, NumPy, and Scikit-learn for data analysis and modeling.
- Design accurate and scalable prediction algorithms
- Evaluate model performance using appropriate metrics.
- Document analysis, methodologies, and results.
- Communicate findings and recommendations to technical and non-technical stakeholders.
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Qualifications
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- 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,C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
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