Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
Package, summarize and visualize analytical findings and results for management
Develop and deploy AI and ML solutions on Google Cloud Platforms
Invent and integrate data and model visualizations for big data machine learning models
What experience you need
B.S. or higher degree required in Mathematics, Statistics, Computer Science, Economics, Operations Research, or Industrial Engineering with a focus on machine learning coursework
2+ years of experience (or education) in a related analytical field
Python and SQL coding skills
What could set you apart
Master's degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus
Cloud experience using GCP
Experience with BigQuery, BigQuery ML, Vertex AI, Google Cloud Storage, Apache Airflow
Experience with Neural Networks, Gradient Boosted Machines, and Random Forests algorithms
