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greenhouse

Senior Data Scientist, Systems Performance

Motional
Massachusetts, USA
Senior · 5+ years experience
Onsite
$149,000—$198,500 USD
Discovered 2 weeks ago
awspythonsql

Full Job Posting

What You Bring:

  • 5+ years of industry experience solving complex problems with large datasets, with a track record of framing ambiguous questions into rigorous, data-driven analyses.
  • Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or a related quantitative field. Master's or PhD preferred.
  • Strong problem-solving skills: ability to break down complex performance and evaluation challenges, think logically, and remove bias from how problems are defined and assessed.
  • Strong Python and SQL skills, with demonstrated experience using data analysis libraries to work with large, complex datasets.
  • Experience applying advanced statistical and ML methods to drive insights from large and complex data sets.
  • Demonstrated experience with statistical analysis, hypothesis testing, causal analysis and data analysis.
  • Demonstrated ability to work independently with minimal guidance and drive projects from problem definition through to actionable results.
  • Proven communication and interpersonal skills, with the ability to explain technical findings clearly to engineering partners and leadership.
  • Eager to learn new statistical and ML techniques and demonstrated willingness to teach
  • Bonus Points:
  • Experience with adversarial scenario generation and closed-loop simulation environments.
  • Experience in autonomous driving or robotics, specifically evaluating sub-systems like Perception, Prediction, or Motion Planning.
  • Familiarity with data pipelines and distributed compute (e.g., AWS) to seamlessly collaborate with our Data Engineering and MLOps partners.
  • Expertise in Machine Learning and Deep Learning.
  • Expertise in modern sequence modeling (e.g., Transformers applied to time-series or trajectory data) and probabilistic ML / uncertainty quantification for distinguishing rare-but-safe behavior from out-of-distribution failures.
  • Familiarity with automotive safety standards like ISO 26262 or ISO 21448 (SOTIF).
  • We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
  • #LI-KS1
  • The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
  • Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
  • Salary Range$149,000—$198,500 USD
  • Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
  • Our journey is always people first.
  • We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
  • Higher purpose, greater impact.
  • We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
  • Scale up, not starting up.
  • Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
  • Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
  • Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Qualifications

  • 5+ years of industry experience solving complex problems with large datasets, with a track record of framing ambiguous questions into rigorous, data-driven analyses.
  • Strong problem-solving skills: ability to break down complex performance and evaluation challenges, think logically, and remove bias from how problems are defined and assessed.
  • Strong Python and SQL skills, with demonstrated experience using data analysis libraries to work with large, complex datasets.
  • Experience applying advanced statistical and ML methods to drive insights from large and complex data sets.
  • Demonstrated experience with statistical analysis, hypothesis testing, causal analysis and data analysis.
  • Demonstrated ability to work independently with minimal guidance and drive projects from problem definition through to actionable results.
  • Proven communication and interpersonal skills, with the ability to explain technical findings clearly to engineering partners and leadership.
  • Eager to learn new statistical and ML techniques and demonstrated willingness to teach
  • Experience with adversarial scenario generation and closed-loop simulation environments.
  • Experience in autonomous driving or robotics, specifically evaluating sub-systems like Perception, Prediction, or Motion Planning.
  • Familiarity with data pipelines and distributed compute (e.g., AWS) to seamlessly collaborate with our Data Engineering and MLOps partners.
  • Expertise in Machine Learning and Deep Learning.
  • Expertise in modern sequence modeling (e.g., Transformers applied to time-series or trajectory data) and probabilistic ML / uncertainty quantification for distinguishing rare-but-safe behavior from out-of-distribution failures.
  • Familiarity with automotive safety standards like ISO 26262 or ISO 21448 (SOTIF).
  • We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
  • Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
  • Salary Range$149,000—$198,500 USD
  • Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
  • Our journey is always people first.
  • We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
  • Higher purpose, greater impact.
  • We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
  • Scale up, not starting up.
  • Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
  • Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
  • Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Preferred Qualifications

  • Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or a related quantitative field. Master's or PhD preferred.
  • The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

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