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Staff Data Science

  • 위치
    • Austin, Texas
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202617273

설명

The Role

As a staff scientist, you will be responsible for leading one or more AI/ML and data science products, while also contributing highly technical work on problems of significant complexity. You will be accountable for translating ambiguous Customer Care and Aftersales (CCA) business challenges into scalable, production-grade analytics products that deliver measurable enterprise impact. You will be expected to act as a technical thought leader and expert within the CCA organization.

What You'll Do

  • Shape scientific direction, and ensure methodological quality and operational robustness used across the suite of products that you are responsible for;
  • Grow the technical capabilities of the scientist community within the CCA Applied Analytics organization through exploration of new methods and technologies, cross-functional knowledge sharing, mentorship, internal reviews, and establishment of reusable methods and frameworks;
  • Drive results on time and within budget, managing risks, and ensuring methodological and operational quality across products that you oversee to generate significant and measurable business impact;
  • Work cross-functionally across data engineering, delivery teams, software delivery, other business units and beyond to drive product development, management and results; and
  • Influence stakeholders and leaders by translating technical tradeoffs, risks and opportunities into clear business decisions.

Your Skills & Abilities (Required Qualifications)

  • 6+ years leading advanced analytics, AI/ML and/or operations research initiatives, guiding the methodological and operational work of analytics teams;
  • Demonstrated thought leadership surrounding use of innovative methodologies and approaches to solving business problems;
  • Demonstrated ability to lead multi-team member initiatives using novel methods resulting in substantial business impact;
  • Deep expertise across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.);
  • Expertise in Python and other cloud-based data science platforms (Databricks preferred), and proficiency in SQL;
  • Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, etc.
  • Demonstrated ability to frame ambiguous high-value business problems into tractable analytical strategies and measurable outcomes;
  • M.S. in operations research, engineering, computer science, applied statistics, physics, or related field, Ph.D. preferred. Equivalent additional experience may substitute for advanced degree.

What Can give You an Edge

  • Publications, conference talks, patents or other generated intellectual property, committed open-source work, or other external technical recognition;
  • Creativity, inquisitiveness and a thirst for learning;
  • Ability to develop, inspire and motivate the team; and
  • Strong presentation and communication skills.

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.