Job ID: WA-COM-WR-BI-3-2020 (912590326)
(CANCELLED) Decision Sciences Engineer (PhD) with Machine Learning/Artificial Intelligence/BI, mobile technologies/security, Data warehousing/visualization, SQL Server, SSAS, SSRS, SSIS and training/Camtasia experience
Location: 1011 Plum Street Olympia WA (Washington State Department of Commerce)
Duration: 36 months
Interview: In-person
Positions: 1 (1/1)
1. At least one resource on this project will have a PhD in Data or Decision Sciences or Machine Learning/Artificial Intelligence field(s).
2. Fifteen (15) years in the mobile technologies, with at least five (5) years in the areas of rendering analytics on mobile platforms
3. Five (5) years’ experience with the following technologies:
• Data warehousing technologies and platforms
• Data visualization platforms
• Microsoft’s SQL Server 2008 R2 and 2012,
• SQL Analysis Services, Reporting Services, and Integration services;
• Mobile development platforms
• Mobile security deployment such as Lookout etc. to secure our analytics and data on mobile platforms
4. Training resource(s) should have at least three (3) years as an educator developing training modules for adult learning related to technology. Ability to use training tools such as Camtasia to render training modules
5. Ability to generate research questions to invoke predictive models to solve social problems
b. Scope of Work
Working with Commerce IS development staff and business program staff, the consultant will be required to provide business-intelligence, machine learning, grant analysis, build research topics to answer predictive questions, coaching and mentoring mobile and web-based analytics, training, database design, development, and technical team leadership skills, including knowledge transfer of such skills, to Commerce IS development staff. Extensive knowledge and experience with machine learning and business intelligence is critical to performing the work requirements.
d. Work Requirements
1. Review the various data sources of Commerce and design a data-consolidation strategy.
2. Develop strong research questions to enable Commerce’s business construct predictive models to answer future scenarios. These scenarios could be potentially used to present to our lawmakers for data-based decision making.
3. Define and implement near-term, medium-term, and long-term use-cases for business intelligence with roadmaps for implementing them. Along with milestones.
4. Design and implement a road-map for a parallel mobile strategy to render analytics.
5. Provide a comprehensive data-integrity strategy to render analytics on various platforms including geo-spatial platforms.
6. Develop and implement research questions and solutions to visualize data to solve Business problems.
7. Provide machine-learning roadmap to improve the mission-outcomes for the Department of Commerce.
8. Training in all the above and related to the transactional systems that support the business.