Posted:1 month ago|
Platform:
On-site
Full Time
1. Working on data engineering and cloud platforms
2. Working on data visualization platforms and ETL
3. Working on web scraping, SQL, Python, etc.
4. Understanding the technology used to build the
process
5. Understanding our business processes
6. Working with LLMs for various use cases
- Analyze large datasets to extract actionable insights using statistical analysis,
machine learning, and data mining.
- Develop and implement predictive models and algorithms, ensuring data quality and
processing efficiency.
- Communicate complex data findings to stakeholders in a clear and effective manner.
- Proficient in programming (Python/R), with experience in SQL, TensorFlow, and data
visualization tools (e.g., Tableau). Analytical Thinking, Team Player, Ownership and
Initiative, Adaptability
Qualifications
Bachelor's degree in a relevant field.
Proficiency in programming languages such as Python.
Experience with data manipulation, statistical analysis, and machine learning libraries
(e.g., pandas, NumPy, scikit-learn, TensorFlow, or PyTorch).
Knowledge of SQL for data extraction and manipulation.
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