Data Scientist
Mid-Senior Level
Overview
Join our data science team to extract actionable insights from corporate governance data and enhance our AI models. You’ll work with complex datasets from legal documents, compliance records, and corporate filings to identify patterns that improve our platform’s decision-making capabilities and drive business intelligence.
Key Impact Areas
• Develop machine learning models for legal document analysis.
• Extract insights from corporate governance and compliance data.
• Build predictive models for risk assessment and compliance monitoring.
• Create data pipelines for processing legal and financial documents.
• Collaborate with AI engineers to improve natural language processing capabilities.
Key Responsibilities
• Design and implement machine learning models for document classification.
• Analyze large datasets to identify trends in corporate governance.
• Develop automated data quality checks and monitoring systems.
• Create and maintain data pipelines for real-time processing.
• Collaborate with product team to translate business requirements into technical solutions.
• Present findings and recommendations to executive stakeholders.
• Mentor junior data scientists and contribute to best practices.
• Stay current with latest developments in AI and machine learning.
Requirements
• 4-7 years of data science experience, preferably in fintech or legal tech.
• Strong proficiency in Python, R, and SQL.
• Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
• Knowledge of NLP techniques and text mining.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with big data tools (Spark, Hadoop) is a plus.
• Understanding of statistical analysis and experimental design.
• Master’s degree in Data Science, Statistics, Computer Science, or related field.
Hiring Process
Onboarding Journey
🌟 Ongoing Development & Support
📚 Continuous Learning
• $3,000 annual learning & development budget
• Conference attendance and industry events
• Internal tech talks and knowledge sharing
• Certification support (AWS, Azure, etc.)
🎯 Career Growth
• Quarterly performance reviews and goal setting
• Clear promotion pathways and criteria
• Leadership development opportunities
• Cross-functional project assignments