설명
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
What You'll Do
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Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results.
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Extract data using existing IoT solutions and big data sources, conduct thorough analysis, perform testing, and validate outcomes.
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Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes.
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Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges.
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Propose solutions and strategies to business challenges that drive significant impact.
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Monitor the health of data collection pipelines, report issues, and follow up with responsible teams.
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Write user stories and frameworks for the IT development team to productize the self developed solutions.
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Present complex information through data visualization techniques.
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Provide training and guidance to business partners on data analysis methodologies, reporting, and tools.
Your Skills & Abilities (Required Qualifications)
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Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.
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10+ years of experience in any Automotive company or Data Analytics environment.
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Proficient in Python (preferred) or any object-oriented programming languages.
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Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making.
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Proficient in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem.
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Experienced in working with data pipelines, PowerBI, SQL queries, Git, Databricks, Azure cloud services, and DevOps/MLOps/LLMOps.
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Familiarity with IoT data collection methods and solutions.
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Familiarity with automotive production processes, industrial automation, throughput analysis, and industrial engineering is considered an added advantage.
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Ability to learn quickly and adapt to new challenges.
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Exceptional collaboration skills and the ability to build strong relationships.
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Process-oriented mindset with a focus on efficiency and effectiveness.
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Outstanding project management skills within an agile environment.
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Demonstrates creativity in problem-solving, thinking dynamically and beyond industry norms, and adapting swiftly to new technical areas.
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Proficiency in collaborating with intercultural, multi-disciplinary, and remote teams to achieve functional objectives.
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Strong organizational, planning, and prioritization skills, with a meticulous approach to project execution.
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Readiness to travel across regions as necessary for project implementation.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.