Data Scientist 1
1 day ago
**In your day-to-day role, your responsibilities include**:
- Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks and tree-based models.
- Evaluate and optimize existing machine learning models for performance and scalability.
- Stay up-to-date with the latest developments in machine learning and AI technologies.
- Work with large volumes of data, including extracting insights and manipulating big data covering a wide range of information.
- Collaborate with other ML scientists and engineers to formulate innovative solutions, experiment, and implement advanced ML techniques to solve business problems.
- Clearly and effectively communicate complex concepts, analysis insights, and modeling results through creative visualization to stakeholders of varying technical levels.
**What do you need to bring**:
- PhD in quantitative science or engineering field (Computer Science, Statistics, Physics, Mathematics, Operation Research, etc.)
- MS with 2-4 years experience in quantitative science or engineering field (Computer Science, Statistics, Physics, Mathematics, Operation Research, etc.)
- Strong understanding of machine learning algorithms and principles. Proficiency in programming languages such as Python, Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data manipulation and analysis using tools like Pandas, NumPy, or SQL (BigQuery/Hive/Spark).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) and distributed computing.
- Excellent problem-solving skills and the ability to work independently and in a team environment.
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