Application ends: August 22, 2026
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Job Overview
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Date PostedMay 23, 2026
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LocationRemote
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Expiration dateAugust 22, 2026
Job Description
JOB DETAILS
Requirements
- Solid understanding of machine learning techniques, model evaluation, and real world deployment considerations.
- Experience evaluating third party AI solutions and comparing them with internally developed approaches.
- Experience working in regulated environments with awareness of privacy, compliance, and explainability requirements.
- Strong communication and collaboration skills with the ability to influence without formal authority.
- Experience supporting AI initiatives in a matrixed enterprise environment.
- Experience working with commercial data sources such as CRM, claims, promotional, and digital engagement data.
Responsibilities
- Apply data science expertise for AI and advanced analytics solutions across Commercial use cases such as forecasting, targeting, segmentation, personalization, omnichannel engagement, and commercial optimization.
- Provide technical expertise in Generative AI applications for field teams (e.g., pre-call planning), marketing teams (e.g., content generation or market research), operations teams (e.g., knowledge summarization and search), etc.
- Evaluate the technical quality of AI solutions, including (where applicable) LLM strategy, solution architecture, model design, featurization, data requirements, validation approaches, explainability, monitoring, and scalability.
- Review and challenge analytical approaches, assumptions, and outputs from internal teams and external vendors to ensure solutions meet Jazz standards for rigor, trust, and compliance.
- Support technical assessments of build versus buy options for commercial AI capabilities, considering time to value, cost, scalability, extensibility, vendor dependency, and long term ownership.
- Participate in technical due diligence of vendor solutions, including review of methodologies, data usage, solution transparency, and operational readiness.
- Contribute clear technical input and recommendations to inform investment and solution implementation decisions. Evaluate build versus buy frameworks.
- Support prioritization of commercial AI initiatives by assessing feasibility, data readiness, implementation complexity, adoption readiness, and potential business impact.
- Partner with commercial and analytics stakeholders to define success metrics and ensure AI solutions are designed to deliver measurable value.
- Define pilot or MVP solutions that test solution applicability, confirm value measurement and define supporting process changes.
- Identify opportunities to reuse, standardize, or scale AI capabilities across brands, markets, or commercial functions.
- Remain hands on as needed, contributing to or reviewing development, experimentation design, feature engineering, and analytical pipelines.
- Apply best practices in data science, including model validation, bias assessment, explainability, and documentation appropriate for a regulated environment.
- Support the responsible application of advanced analytics, machine learning, and generative AI techniques in commercial contexts.
- Partner closely with Commercial, DEC Data Engineering, Architecture, and Security teams and Privacy and Compliance teams to support delivery of scalable, secure AI solutions.
- Translate complex technical concepts into clear, actionable guidance for non-technical stakeholders.
- Ensure commercial AI solutions align with enterprise data, AI, security, and governance standards.
Desired Qualifications
- Bachelor’s degree with advanced training or experience in Data Science, Statistics, Computer Science, Engineering, Social science fields (quantitative psychology, quantitative sociology, or economics) or a related quantitative field; advanced degree preferred.
Are you interested in this position?
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