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Job Summary:

We are seeking a highly skilled and motivated Data Scientist to join our department. In this role, you will work closely with cross-functional teams to analyze large datasets, develop predictive models, and create actionable insights to improve tax compliance, fraud detection, revenue forecasting, and policy decision-making. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with a keen interest in applying these skills to the taxation domain.

Key Responsibilities:

1. Analyze large, complex datasets related to taxation, including income, sales, property, and corporate tax data.
2. Develop and implement machine learning models to identify patterns, trends, and anomalies in tax-related data.
3. Build predictive models for tax revenue forecasting, fraud detection, and compliance risk assessment.
4. Collaborate with software engineers to integrate data science solutions into our taxation software products.
5. Design and maintain data pipelines to ensure efficient data collection, cleaning, and processing.
6. Communicate findings and insights to stakeholders through clear visualizations, reports, and presentations.
7. Stay up-to-date with the latest advancements in data science, machine learning, and taxation regulations.
8. Work closely with the product team to identify opportunities for data-driven features and improvements.
9. Ensure data privacy and security standards are maintained in compliance with relevant regulations.
10. Qualifications:
11. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
12. 3+ years of experience in data science, machine learning, or a related field.
13. Proficiency in programming languages such as Python, R, or SQL.
14. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).
15. Solid understanding of statistical analysis, predictive modeling, and data mining techniques.
16. Experience working with large datasets and distributed computing tools (e.g., Hadoop, Spark) is a plus.
17. Knowledge of taxation systems, policies, and regulations is highly desirable.
18. Excellent problem-solving skills and the ability to work independently and in a team environment.
19. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience in the taxation or financial services industry.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of natural language processing (NLP) and text analytics.
• Experience with time-series analysis and forecasting techniques.

Skills:

Google, Microsoft Azure, AWS Solution,