Data Analyst - Data Science team
Core
Design and deploy production-grade graph machine learning solutions using Graph Neural Networks (GNNs) and graph databases to solve complex real-world problems.
Role type
Senior IC machine-learning engineer (graph AI)
Builds
Production-grade graph ML solutions
Domain
Graph AI / Machine Learning
Deliverable
production ML models
Required skills
Graph Neural Networks (GNNs), graph databases, statistical analysis, data mining, exploratory data analysis (EDA), feature engineering, model evaluation, code quality
Preferred skills
Mentoring, cross-functional collaboration, strategy development
Technologies
Graph Neural Networks, graph databases
Responsibilities
Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets; Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies; Develop reports, dashboards, and visualizations to communicate insights and monitor key business metrics; Support the evaluation and assessment of machine learning models through data analysis and performance reporting; Contribute to the development of the department's data science strategy and identify opportunities where data science can deliver business value; Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality; Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders; Present insights, analysis results, and recommendations to both technical and non-technical audiences
Seniority
Senior, hands-on IC