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Date:  Sep 18, 2022
Location: 

Toronto, ON, CA

Operating Sector:  Business Project Management Office

Position Title:  Scientist, Data

Build Your Career at Aecon

Aecon is proud to build some of the most impactful infrastructure projects of this generation. From the roads and transit systems that connect our communities, to the communication networks that link us from coast-to-coast, and the water infrastructure that supplies our businesses and homes. Our integral work includes constructing the pipelines that join provinces with the energy that fuels the nation, and the airports and ports that connect us all. Aecon is there, safely and sustainably building the future.  

 

We lead the infrastructure industry with purpose, and our people are at the heart of everything we do. Our business success relies on strong execution and continuous improvement – driven by the diversity, expertise and teamwork of our employees. We are always searching the globe for exceptional candidates to join the Aecon family and be a part of our forward-thinking, innovative, best-in-class organization!  

 

About the role.
This role will be part of a cross-functional team that is charged with analyzing and identifying root causes that affect profit margin and construction schedules. The data this role will analyze information from Hard Dollar, SAP, and Primavera P6. To be considered for this role, applicants must have demonstratable experience with at least two of the data sources already listed.
 
The successful candidate has exceptional business acumen and will be a talented analyst in the subjects of classification/decision trees and predictive data modelling using multi-year construction (or other large and complex projects) schedules and related financial (cost, revenue, and margin broken down by cost elements over time) measures.
 
The successful applicant will be required to participate in the production of monthly reports that establish and build upon a growing body of knowledge related to non-residential construction margin and schedule adherence. Applicants with a proven ability to conduct short cycles of experimental data analysis that provide interpretable and coherent results will have a significant advantage over other applicants.
 
Key responsibilities are intended to expand Aecon’s emerging data science function by:


Creating a data production line:

  • Participate in business-operations discussions to identify topics for analysis that centre around achieving planned project margins and construction schedules (i.e. actual versus planned margin, actual versus planned schedule)
  • Refine the focus of analytical topics into hypotheses that  identify causal factors that result in achieving planned results
  • Determine data needed to test hypotheses and run the related data experiments
  • Inform data engineers of data requirements including source systems, data items, and features to be engineered
  • Prioritize engineering needs, test outputs from data engineers, escalate engineering delays
  • Curate a data analysis zone containing the outputs of the production line
  • Project manage data production activities


Contributing to a growing knowledge base:

  • Design an ongoing data research plan that has clear objectives for a rolling 12-month period
  • Produce a monthly report that summarizes progress against that plan, which will include 
  • Significant findings from the prior month vis-à-vis hypotheses analysis
  • Planned activities for the coming month
  • Recommendations that will improve data quality—thereby enhancing future analytic capabilities
  • Calling out barriers or roadblocks encountered, and recommendations to resolve those roadblocks


Promoting a data culture:

  • Create and execute a plan to raise awareness of data science across Aecon
  • Provide technical coaching to colleagues
  • Contribute to an internal SharePoint site that shares non-confidential data insights with all Aecon employees


Other duties will vary, some additional activities might include:

  • Perform rapid experiments and studies that are timeboxed and have clear success criteria
  • In collaboration with the Data Governance lead, create and enforce common data definitions
  • Champion and ensure the adoption of standards that some stakeholders may find restrictive or burdensome
  • Conduct bespoke research projects ensuring timelines and objectives are met

 
Required Knowledge and Experience:

  • Coaching and mentoring experience
  • 3+ years of experience creating works plans and ensuring delivery of tasks that require the cooperation of stakeholders from different departments and with differing priorities
  • 3+ years of experience influencing and navigating complex (matrixed) stakeholder environments
  • Master's Degree in a quantitative field, or equivalent experience (5 years) hands-on in a similar role
  • Experience creating research questions and performing structured quantitative research that results in sufficient evidence to prove or disprove null-hypotheses
  • Experience drawing conclusions from financial and project schedule data which are able to be successfully defended in detailed discussion with financial and project schedule SMEs
  • Links to GitHub repositories of original regression and categorical analysis should accompany applications for this role.

 
Necessary Competencies:

  • Critical Characteristics 
  • Professionalism
  • Business Acumen
  • Integrity, Humility, Transparency
  • Courage, Drive
  • Energy, Passion
  • Communicator
  • Results Driven
  • Problem- Solver

 

Aecon fosters diversity, inclusion and belonging within and across our organization. We welcome all to apply including, women, visible minorities, Indigenous peoples, persons with disabilities, and persons of any sexual orientation or gender identity.

 

We are committed to adhering to the objectives and requirements outlined in the Accessible Canada Act (ACA), and to meeting the accessibility needs of persons with disabilities in a timely manner, through the implementation of the requirements of the ACA and its applicable regulations. If you require accommodation under the ACA Act during any step of the application process please click here.