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Data Insights Specialist

1 week ago

Dubai, Dubai, United Arab Emirates The Mattress Store Full time
Job Overview

We are looking for a highly skilled Data Scientist to help us optimize our revenue generation process. As a key member of our team, you will be responsible for developing predictive models, analyzing large datasets, and providing actionable insights to drive revenue maximization strategies.

The ideal candidate will have strong analytical skills, experience with machine learning algorithms, and excellent communication skills to explain complex technical findings to non-technical stakeholders.

Responsibilities:
  1. Analyze large datasets to identify trends, patterns, and insights related to revenue generation.
  2. Build predictive models using statistical and machine learning techniques to forecast future trends or events based on historical data.
  3. Gather large datasets from various sources, including databases, APIs, and web scraping.
  4. Preprocess and clean the data to remove errors, inconsistencies, and missing values.
  5. Explore and understand the data through statistical analysis, visualizations, and summary statistics.
  6. Develop and implement machine learning models to make predictions or classifications based on the data.
  7. Select, transform, and create relevant features from the data to improve model performance.
  8. Assess the performance of machine learning models using metrics like accuracy, precision, recall, and F1-score.
  9. Deploy machine learning models into production environments for real-time predictions.
  10. Conduct experiments to test the impact of changes and optimizations in data-driven products or services.
  11. Create meaningful visualizations and dashboards to communicate insights effectively to stakeholders.
  12. Explain complex technical findings to non-technical stakeholders and collaborate with cross-functional teams.
  13. Ensure data is handled securely and in compliance with data privacy regulations (e.g., GDPR).
  14. Stay up-to-date with the latest tools, techniques, and trends in data science and machine learning.
  15. Conduct hypothesis tests to validate findings and draw statistically significant conclusions.
  16. Craft narratives around data insights to influence decision-making within the organization.
  17. Work with distributed computing frameworks like Hadoop and Spark for processing large-scale data.
  18. Manage and query databases to extract, transform, and load (ETL) data.
  19. Gain expertise in the specific domain or industry we operate in, which is often critical for effective data analysis.
  20. Ensure that data analysis and modeling practices adhere to ethical standards and avoid bias or discrimination.