As an Industry Analytics Architect and Data Scientist, you will help clients understand and extract insight and value from their data using Machine Learning and AI techniques.
You will support the design, implementation and optimization of trained models based on Machine Learning and Artificial Intelligence. You will work closely with program managers and bid teams to maximize the business development capacity and leverage Avanade capabilities. You will facilitate and execute requirements gathered during analysis and design phases and assist in driving business development initiatives with major stakeholders.
- Lead complex project teams and/or programs of our AI/ML offerings and will be accountable for the overall planning, management, and delivery of assigned projects/programs.
- Be responsible for the successful delivery of projects as measured by contracted scope, schedule, financials as well as overall deliverable quality and customer satisfaction.
- Support sales and delivery and will be accountable for planning, mobilization, execution, and successful closure of projects.
- Communicate status with regular frequency, manage risks as well as monitor and manage financial performance according to in place agreements made between Avanade and the customer during project life cycles.
- Manage delivery of a portfolio of AI/ML projects - monitoring, escalating, managing, and resolving issues.
- Manage the data dependencies for the ML Models, Test and Validation cycles, Model Accuracy requirement.
- Develop, implement, and maintain a detailed project work plan, including appropriate controls, governance structures and monitoring to ensure on-time, on-budget, and quality outcomes.
Skills and Capabilities:
- Previous experience as being client facing and working in project-based consulting.
- Your knowledge includes assessing and handling the opportunities and risks associated with large scale, complex projects for your enterprise clients.
- You should already have a sound knowledge in the field of mathematics and statistics and initial experience in some of the areas of advanced analytics, natural language processing, data mining, data preparation and feature engineering.
- You should be familiar with Azure Cognitive Services and ideally you have already gained practical experience in the implementation of AI solutions as well as getting to know some of the common supervised and unsupervised machine learning models.
Preferred Skills:
- You likely possess an advanced degree (Master’s or PhD) in machine learning, analytics, computer science, physics, applied mathematics, statistics or an equivalent combination of education and experience.
- Certifications in Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Familiarity with AI ethics and responsible AI practices.
What we offer you
Come for the distinctive experiences you have helping forward-thinking corporations, non-profits, and governments push the boundaries of digital innovation. Stay for the limitless learning opportunities that encourage you to master Microsoft and pursue big ideas. Enjoy ambitious growth for yourself as part of Avanade’s people-first culture with benefits like employee share purchasing, flexible work arrangements, a commitment to diversity and inclusion, and competitive pay.
