Staff Data Science

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.

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. 



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