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Legal Data Analyst, Applied Data Science - Apple
Data Scientist
Analyze complex legal datasets to generate actionable insights, leveraging Python, SQL, and AI techniques such as machine learning and NLP, while building scalable data pipelines on cloud platforms.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines that ingest, clean, and transform large volumes of legal documents and metadata.
- Apply machine learning and natural language processing models to identify patterns, trends, and anomalies in legal data.
- Create interactive visualizations and dashboards to communicate insights to legal operations and leadership teams.
- Collaborate with cross‑functional partners to define data requirements, ensure data quality, and integrate AI solutions into decision‑making workflows.
- Implement and optimize cloud‑based data solutions on AWS, ensuring scalability, security, and performance.
Requirements
- Proficiency in Python for data analysis, modeling, and automation.
- Strong SQL skills for querying relational databases and building data models.
- Experience with machine learning frameworks (e.g., scikit‑learn, TensorFlow) and NLP techniques applied to unstructured text.
- Ability to create clear, data‑driven visualizations using tools such as Tableau, Power BI, or Plotly.
- Hands‑on experience with AWS services (e.g., S3, Redshift, SageMaker) or comparable cloud platforms.
Skills
pythonsqlmachine learningnatural language processingaws