Data Scientist/Automation

Responsibilities

- Develop and maintain Python scripts and automation workflows.

- Apply natural language processing (NLP) and image processing techniques to extract

insights from unstructured data (PDFs, DOCX, images).

- Build and manage ETL pipelines using tools like Apache Airflow and PySpark.

- Support deployment of solutions on cloud platforms (Azure, AWS, GCP). - Assist in OCR workflows and machine learning model development.

- Collaborate with project teams to identify data sources and ensure data quality.

- Use Git for version control and collaborative development.

- Contribute to scalable data engineering workflows and cloud-based analytics.

Requirements  

- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.

- 1–3 years of experience in data science, automation, or data engineering.

- Proficiency in Python and familiarity with cloud services (Azure, AWS,...