Architect,Data Scientist

Key Skills

AI technology, Keras software library, MATLAB Programming, R Programming, Sass, TensorFlow, Theano

Job Description

Overview

This role will lead technical development within Artificial Intelligence/Machine Learning for PBNA Advanced Analytics. This will include design, implement, and maintain digital solutions for PBNA sector. The role is responsible for:

• Set up and manage our AI development and facilitate production infrastructure.
• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
• Build data ingest and data transformation infrastructure.
• Identify transfer learning opportunities and new training datasets.
• Build AI models from scratch and help product managers and stakeholders understand results.
• Deploy AI models into production.
• Create APIs and help business customers put results of your AI models into operations.
• Keep current of latest AI research relevant to PBNA business domain.

Responsibilities

• Technical subject matter expert for Advanced Analytics and digital solution (AI, ML, Advanced Analytics, NLP)Develop proof-of-concept demos in a SAFe Agile teamIdentify transfer learning opportunities and new training datasets.Build and deploy AI models for PBNAAssess new capabilities within AI/ML, shape business demand to leverage digital capabilities

Qualifications

• Bachelor’s/Masters/ Phd degree in Computer Science, MIS, Business Management, or related field required15+ years proven experience in programming and development projects.Hands-on experience with software development and system administration
• At least 10-12 years hands-on programming experience working on enterprise products.Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.Experience building AI models in platforms such as Keras, TensorFlow, or Theano.Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects.
• Excellent driveAbility to work in ambiguous situationsProblem-solving aptitudeStrong communication skills Understand sometimes ambiguous, needs, and translate to clear, aligned requirements
• Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies Positive attitudeParticipate in ideation and solutioning discussions, driving clarity of complex issues/requirements to build robust solutions