Senior Data Scientist - Integrated Intel Solutions

Key Responsibilities

• Design, develop, and deploy machine learning models for geospatial and structured datasets, ensuring high accuracy and scalability.
• Implement NLP algorithms to extract actionable information from diverse document formats (PDF, XML, JSON).
• Create interactive visualizations and dashboards that translate complex data into clear, data‑driven insights for stakeholders.
• Collaborate with cross‑functional teams to standardize data pipelines, automate collection, and integrate modern analytics solutions.
• Document methodologies, maintain reproducible codebases, and mentor junior analysts on best practices.

Requirements

• 3+ years of quantitative analysis experience with a strong focus on data science and machine learning.
• Proficiency in Python, including libraries such as pandas, scikit‑learn, and geopandas.
• Hands‑on experience with geospatial file formats (e.g., Shapefile, GeoJSON) and spatial analysis techniques.
• Solid understanding of NLP techniques and experience applying them to document extraction.
• Excellent communication skills and ability to translate technical findings into business insights.