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About RWI
RUNWITHIT Synthetics (RWI) enables global leaders to design, optimize and compel better, more sustainable, equitable and resilient futures for all. We are leading the world in the generation of synthetic, scenario-based data to support decision de-risking, allowing leaders to make decisions with data from unprecedented conditions in the natural and built environment, to characterize and measure human impact before it happens, and to share the future of options accessibly using RWI’s 3D geospatial live visualization RWI Holodeck.
RWI has received numerous international awards in recognition of its efforts around the world, including a UNIDO Global Call Award for Decarbonizing Growing Urban environments for its work with the TOYOTA Mobility Foundation in Kuala Lumpur, a Mobile Heroes Gold Medal Award in Taiwan, and RWI is a SET100 (Top 100 Global Startup in Energy Transition) for the second year running.
RWI offers challenging opportunities for growth, and to make a positive difference, in mobility, decarbonization, climate change, water, energy transition and resilience.
All members of RUNWITHIT are Gender-Based Analysis Plus (GBA+) certified. GBA+ is an analytical process used to assess how diverse women, men, and non-binary people may experience policies, programs, and initiatives. The “plus” in GBA+ acknowledges that GBA goes beyond biological (sex) and socio-cultural (gender) differences and recognizes the multiple identity factors that intersect to make us who we are; race, ethnicity, religion, age, and mental or physical disability. We are also proud members of the Canadian Council for Aboriginal Business.
We welcome applicants who share our recognition and value of diversity, collaboration, curiosity, humility, commitment, integrity, and solutions-focused values that will build a better future for us all, including all those yet to come.
About the Role
Your education and experiences will have prepared you to participate in or learn the following:
- survey relevant research to identify applicable data sources and open data sources
- design models and systems of models that interact to recreate real-life systems of systems under known and novel circumstances, infrastructure and people
- use the RWI Symbolic Notation Language (SNL) and supporting tools that enable social scientists and engineers, without programming backgrounds, to implement, test, integrate and validate models, incrementally
– exercise good judgement and decision making in complex and novel areas of modelling, including seeking input and guidance from team members- use provided tools and training to collaborate around large datasets to measure outcomes, benefits, impacts, indicators that establish baselines, indicators, and forecasts to support actionable recommendations
- apply quantitative methodology to arrive at data-based insight and make data-driven recommendations that influence customer and stakeholder strategy and business decisions through fact-based, data-driven insights and analysis
- for human behaviour modelling, a degree or advanced degree in humanities or social sciences
Experience with the following will be considered an asset:
- collaborate in teams and pairs as well as contribute to team data democratization and education effort by teaching, coaching, and encouraging hypothesis-driven and systems-based thinking
- formulate data stories, capture storyboard data, and assemble virtual reality recipes for the presentation and illustration of data insights reports, presentations and in virtual reality in the RWI Holodeck
- work with the design team to integrate high-polish assets and motion graphics where applicable
- plan, coordinate and track the activities of modelling teams
At RWI, we work remotely across North America but like to get together now and again at the office or on the road.
Benefits:
- Company events
- Dental care
- Extended health care
- Flexible schedule
- Work from home
Schedule:
- 8 hour shift
- Monday to Friday
