Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
Apply AI and Machine Learning technology to solve complex, real-world problems
Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely
Fulfill problem formulation and ML technique consulting requests in a timely manner
Communicate and present analytical models to business customers and executive management
Work collaboratively with different business partners and be able to present results in a clear and concise manner
Requirements
Bachelor’s degree in computer science, mathematics, statistics, operations research, or related field
Experience with the complete software lifecycle
1+ years of experience with delivering and maintaining production software products
Strong technical writing and oral communication skills
Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps
Experience in productionizing generative AI to solve critical business problems
Preferred: Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience OR Master’s degree AND 3+ years data-science OR bachelor’s degree AND 5+ years data-science experience
Preferred: Experience with cloud-based deployments and best practices
Preferred: Demonstrated contributions and expertise in one or more AI domains (NLP, Computer Vision, Generative AI, Physics-informed neural networks)