Data Scientist/Automation (Python, AcrPy, ArcEQuIS+ etc.)

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, GCP).
• Experience with data wrangling, cleaning, and transformation.
• Exposure to NLP, OCR, and machine learning concepts.
• Strong communication and organizational skills.
• Ability to work independently and collaboratively in a fast-paced environment.