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Job Description
- Plan data projects
- Building analytic systems and predictive models
- Manage a team of data scientists, machine learning engineers, and big data specialists
- Lead data mining and collection procedures
- Ensure data quality and integrity
- Research and develop statistical learning models for data analysis
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with the latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
- Interpret and analyze data problems
- Conceive, plan and prioritize data projects
- Build analytic systems and predictive models
- Test performance of data-driven products
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Job Requirements
- 2+ years of experience in the data science field
- Advanced Knowledge in :
- Mathematics (Linear algebra and calculus)
- Statistics (probability distributions, statistical significance, hypothesis testing, and regression)
- Programming (Python or Java)
- Statistical computing (R or SAS)
- Database Querying Language (SQL)
- Machine learning algorithms for (regression, classification, clustering and anomaly detection)
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