Data Scientist

1. Conduct exploratory data analysis to understand patterns trends and anomalies in large datasets.
2. Develop predictive models and machine learning algorithms to solve business problems and optimize processes.
3. Collaborate with crossfunctional teams to identify opportunities for leveraging data science techniques to drive business value.
4. Design and implement experiments to test hypotheses and validate model performance.
5. Utilize statistical methods and hypothesis testing to derive insights and make datadriven recommendations.
6. Build and deploy scalable machine learning pipelines and models in production environments.
7. Interpret and communicate findings to nontechnical stakeholders through visualizations reports and presentations.
8. Stay updated with the latest advancements in data science machine learning and artificial intelligence.

1. Bachelor s or Master s degree in Computer Science Statistics Mathematics or related field.
2. 5 12 years of experience in data science machine learning or related roles.
3. Strong proficiency in programming languages such as Python R or Scala.
4. Experience with machine learning libraries and frameworks such as TensorFlow PyTorch scikitlearn etc.
5. Solid understanding of statistical methods hypothesis testing and experimental design.
6. Handson experience with data wrangling feature engineering and model evaluation.
7. Experience with cloud platforms such as AWS Azure or Google Cloud Platform.
8. Excellent problemsolving skills and attention to detail.
9. Effective communication skills and the ability to collaborate with crossfunctional teams.
10. Prior experience in a remote work environment or across different time zones is a plus.

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