The team Analytics & Cognitive In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting enterprise programs and differentiated strategies to win in their chosen markets.
The Analytics & Cognitive team works with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based as well as client-owned platforms
Deploy automation and cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Qualifications:
6+ years of relevant work experience
2+ years of experience leading and managing project teams
2+ full cycle product experiences (prototype to production) deploying computer vision solutions
API development experience
Bachelor's Degree
Travel up to 50% of the time (Monday - Thursday/Friday) (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)
Preferred:
Advanced Degree preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related field
Formal training in one or many of the following: computer vision, image processing, linear and non-linear programming, machine learning, linear algebra
Certification or expertise on at least one of the following platforms: Google Vision, AWS Rekognition, Azure Computer Vision/Face/Content Moderator, or Watson Visual Recognition
Expertise in computer vision or deep learning frameworks and libraries, e.g. PyTorch, OpenCV, Keras, Tensorflow, scikit-image
Advanced skills in Python
Strong knowledge of machine learning, deep learning, image processing, computer vision
Experience with quantitative modeling (design, development & implementation) using 3+ types of algorithms (e.g., YOLOv3, RetinaNet, Faster R-CNN)
Expertise in fields e.g. structured information extraction, object detection, action recognition, image segmentation, spatiotemporal modeling (hybrid CNN/RNN)
Ability to work independently, manage small engagements or parts of large engagements.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Strong problem solving and troubleshooting skills with ability to exercise mature judgment.
