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Staff Safety Data Scientist, Safety AnalysisSoftbank Investment Advisers • Pittsburgh, Pennsylvania, United States
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Staff Safety Data Scientist, Safety Analysis

Softbank Investment Advisers
  • US
    Pittsburgh, Pennsylvania, United States
  • US
    Pittsburgh, Pennsylvania, United States
Jetzt Bewerben

Über

Staff Safety Data Scientist, Safety Analysis Aurora is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product. In This Role, You Will:
Lead the development of novel quantitative data analytics using both proprietary and publicly available data. Author and present technical analyses and findings to diverse internal and external audiences. Design and automate data collection and analysis to support ongoing safety programs. Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems. Model self-driving vehicle behaviors at the system and subsystem levels. Develop and maintain reports and expressions of baseline risk coverage and application in operations. Design and develop expressions of risk benchmarking from similar industries. Create dashboards and reports for communicating risk, ranking, and anomalies. Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems. Mentor and lead junior team members, fostering their professional growth.
Required Qualifications:
Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. 7+ years of progressive experience solving large-scale complex problems. Demonstrated experience in a safety related domain. Strong understanding of safety principles and risk assessment methodologies. Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis. Expertise in data science tools, statistical modeling, machine learning, predictive analytics, and visualization software. Excellent communication and presentation skills. Strong leadership skills, with the ability to provide guidance and mentorship. Ability to work independently, as part of a cross-functional team, or as a project lead.
Desirable Qualifications:
Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations. Familiarity with rapidly scaling operational environments. Proficient in working with advanced data transformation tools such as DBT. Skilled in building and deploying using Amazon Web Services (AWS) tools. Background in the Autonomous Vehicles, Aerospace, or Robotics domains.
The base salary range for this position is $171,000 - $247,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.
  • Pittsburgh, Pennsylvania, United States

Sprachkenntnisse

  • English
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