Responsibilities

• Aggregate, analyze and generate supervised & unsupervised ML insights from large application telemetry data sets
• Consolidate and manage high-value datasets via REST APIs or Extract, Load, Transform (ELT) processes, etc into Datalakes such as Google BigQuery, Snowflake, DataBricks, AWS S3, etc.
• Build, train, test, tune and deploy AI models at scale within a Customers’ operating architecture in platforms such as Vertex AI
• Engage with other QuadSci deployed colleagues on the explanation of data insights, confirmation of design requirements, root cause analysis, etc.
• Work with Customers on AI feature roadmaps (incl. GenAI applications) for their models and ongoing performance management of deployed AI models
• Collaborate with QuadSci colleagues and / or Customer IT on integration and automation requirements reliant on AI/ML score code outputs

Requirements

• Must have a bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or other related field
• 3+ years of relevant experience in data science, consulting or product development
• Expertise in NumPy, Pandas, SciKitLearn, Keras, etc.
• Demonstrated success in the use of clustering, classification, regression, decision trees etc to deliver transformative insights
• Strong experience in building, training, and tuning predictive machine learning, especially in the domains of next best offer or recommended action based on time-series type data sets
• Experience in Natural Language Processing (NLP) for sentiment analysis and behavioral modeling
• Extensive experience in SQL, Python, Pandas data transformation to form data tables and feature stores