Senior Data Scientist Product Safety Data Analytics (GPSSC)

Job Description

The Role

The Product Safety Data Analytics team is seeking highly motivated and qualified candidates for the position of Data Scientist focused on hazard monitoring.

This is a great opportunity for an innovative data scientist/statistician with strong hands-on experience in statistical analysis data interpretation automation and development of scalable analytical solutions. This role requires strong programming skills and deep knowledge of statistical techniques to solve complex problems automate analytical workflows support safety investigations and strengthen hazard monitoring capabilities. You will be part of a highly collaborative team that values growth creativity and a relentless focus on data-driven business transformation.

In this role you will develop and improve analytical solutions to identify monitor and analyze potential emerging vehicle safety issues. You will work closely with business partners to understand their challenges and needs perform appropriate statistical analyses improve monitoring methods automate workflows and provide technical guidance and mentorship across the team.

What Youll Do (Responsibilities):

• Develop and help standardize best practices for continuous monitoring of emerging safety issues for use in safety hazard monitoring
• Strengthen data-analytics support for safety investigations through improved methods automated tools and feedback loops for process improvement
• Perform appropriate statistical analyses to deliver sound unbiased and actionable results
• Analyze signals patterns and trends in large and complex data sets to support early identification of potential safety issues
• Apply methods such as time series analysis categorical data analysis sampling and multivariate analysis to support investigations and decision-making
• Support anomaly detection diagnostics prognostics and root cause analysis for safety-related topics
• Identify design and implement automation opportunities using a combination of custom software development and off-the-shelf solutions
• Develop scalable automated analytical tools data workflows and monitoring approaches that improve execution efficiency and consistency
• Communicate findings clearly and tell a concise data-driven story to a wide range of stakeholders from analyst to senior leadership
• Apply strong business acumen and technical judgment to expand and strengthen hazard-monitoring analytics support
• Work independently on complex assignments while collaborating effectively across functions
• Serve as a resource and mentor for less experienced team members

Your Skills & Abilities (Required Qualifications):

• M.S. in a quantitative discipline such as Statistics Mathematics Econometrics Operations Research or another relevant degree
• 6 years of work experience in applied statistics analytics engineering data science or a related field
• Strong background in statistical data analysis such as time series categorical data analysis multivariate analysis and sampling design
• Strong background in anomaly detection diagnostics and prognostics and root cause analysis
• Demonstrated experience in large-scale data analytics
• Strong programming capability in Python SQL and related analytical tools
• Experience working with modern data environments such as Databricks data pipelines data preprocessing workflows and automation of recurring analytical processes
• Ability to communicate results and methodologies effectively including presentation to senior leadership
• Strong work ethic drive for results and ability to work effectively in an ambiguous environment
• Understanding of vehicle safety technologies including design intent function and intended field performance

What Will Give You a Competitive Edge (Preferred Qualifications):

• Experience in vehicle development or validation of safety-related systems or components
• Experience supporting safety investigations or field-performance analytics
• Experience working within GMs data ecosystem
• Experience using GMs cloud technology stack for data science and analytics
• Experience applying natural language processing or other advanced analytical techniques to support large-scale safety data analysis

#LI-KE2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship entry of GM as the immigration employer of record on a government form and any work authorization requiring a written submission or other immigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

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