Applied Scientist

Waabi

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profile Job Location:

Toronto - Canada

profile Monthly Salary: $ 128000 - 184000
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

Waabi founded by AI visionary Raquel Urtasun is the leader in Physical AI. With a world-class team were unlocking the next era of autonomous transportation with technology thats powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI automotive logistics and deep tech.

With offices in Toronto San Francisco Dallas and Pittsburgh Waabi is growing quickly and looking for diverse innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit:

At Waabi we are building the next generation of autonomous driving technology leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software platform and fleet with rigor and reliability.


We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative cross-functional role that sits at the intersection of Evaluation Systems & Safety and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.

You will...

- Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation) Track and Public Road testing.

- Develop and maintain sophisticated cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems tracking progress toward critical company milestones.

- Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines ensuring our infrastructure remains scalable automated and capable of validating complex system requirements across all testing modalities.

- Act as a key partner to Safety and Autonomy teams ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.

- Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable high-fidelity data.

Qualifications

- Minimum of 3 years of professional experience in an analytical role (e.g. Data Science Systems Evaluation or Product Analytics).

- BS/MS in a quantitative field such as Computer Science Engineering Statistics Physics or similar.

- Strong command of SQL and familiarity with Python for data manipulation and prototyping.

- Experience building clear automated dashboards using modern BI tools or custom frameworks.

- Experience working with internal cross-functional partners/stakeholders

- Open-minded and collaborative team player with willingness to help others

- Passionate about self-driving technologies solving hard problems and creating innovative solutions.

Bonus/nice to have:

- Experience in the Autonomous Vehicle or Robotics industry.

- Experience with large scale databases and analytics

- Practical understanding of statistical concepts (e.g. hypothesis testing significance) as applied to real-world performance measurement

The US yearly salary range for this role is: $128000 - $184000 USD in addition to competitive perks & benefits. Waabi (US) Inc.s yearly salary ranges are determined based on several factors in accordance with the Companys compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site off-site & virtually.
- As we grow this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive inclusive and accessible workplace for all our employees. We seek applicants of all backgrounds and identities across race color ethnicity national origin or ancestry age citizenship religion sex sexual orientation gender identity or expression military or veteran status marital status pregnancy or parental status caregiver status disability or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

IC

Waabi founded by AI visionary Raquel Urtasun is the leader in Physical AI. With a world-class team were unlocking the next era of autonomous transportation with technology thats powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI automotive l...
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The US yearly salary range for this role is: $128,000 - $184,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective ... View more

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