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Solution Developer II

4 months ago

Rancho Cucamonga, United States Blue Spire Inc Full time

The Solution Developer II - Automation will focus on key technology domains including business process automation, data curation, industrialized analytics, machine learning & Artificial Intelligence and scalable delivery platform. As a member of the Automation and Innovation Center of Excellence (COE), you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution while contributing to the automation development best practices. Work with Quality Engineering to ensure automated solutions meet the needs, criteria, and business rules and regulations. This position will collaborate with information technology security to ensure the highest product security standards are met.


Education

  • Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
  • In lieu of the required degree, a minimum of an Associate’s Degree and two (2) years of additional relevant work experience is required for this position.
  • This experience is in addition to the minimum years listed in the Experience Requirements below.


Experience

  • A minimum of four (4) years of information systems experience, including a successful track record with: IT transformation track-record as an RPA/AI/ML developer, solutions developer, or solutions architect
  • Successful creation and running of an Enterprise Architecture function.
  • Played the role of an evangelist, bringing in thought leadership to the organization.
  • Bringing together stakeholders from different areas of the business to identify potential automation use cases and ensure that everyone's input is heard.
  • Facilitating discussions around potential solutions and help to drive consensus on the best approach.


Key Qualifications

  • Working with data automation platforms.
  • Demonstrating ability to work in one or more common programming languages: SAS, SQL, Python, R.
  • Working with predictive and descriptive analytics and working with machine learning.
  • Working with data engineering/data science and other analytics team to establish data sources that serve business needs around analytics & scenario modeling.
  • All information technology security protocols and procedures.