Data Scientist: NLP & Data Extraction for Unstructured Data

Quess Philippines Corp.; Taguig; Hybrid; PHP 500,000 - 900,000; Full time

Job summary

Quess Philippines Corp. seeks a data-focused professional to translate business problems into automated document extraction and data enrichment solutions.

You will work with Python and SQL Server, label datasets, and validate training data under supervision, leveraging NLP to extract information from unstructured sources. You'll collaborate with engineers and business customers, develop ad hoc queries, document end-to-end processes, and help evaluate model performance with standard metrics while

Qualifications

• 3+ years of experience in data science, analytics, or equivalent.
• Bachelor's degree in a quantitative field (data science, analytics, statistics, engineering) or equivalent.
• Experience with OCR, NLP, or image analytics preferred.

Responsibilities

• Translate business problems into technical solutions and deliver automated document extraction and data enrichment.
• Manupulate data with Python and SQL Server; create ad hoc queries to investigate data anomalies and summarize data for pattern detection.
• Manually label and validate training datasets.
• Under supervision use NLP to extract business data from unstructured sources.
• Create technical documentation to archive end-to-end processes.
• Implement evaluation frameworks using precision, recall, F1 scores, accuracy, and operational metrics.
• Collaborate with experienced modelers to build predictive models and analytic solutions.

Skills

Analytical thinking

Communication

Team collaboration

Education

Bachelor's degree in quantitative field

Tools

Python

SQL

Git

Job description

Quess Philippines Corp. seeks a data-focused professional to translate business problems into automated document extraction and data enrichment solutions.

You will work with Python and SQL Server, label datasets, and validate training data under supervision, leveraging NLP to extract information from unstructured sources. You'll collaborate with engineers and business customers, develop ad hoc queries, document end-to-end processes, and help evaluate model performance with standard metrics while