Senior Data Scientist (P353)

This role will play a meaningful part in advancing measurement infrastructure, supporting Objective Based Measurement (OBM), research towards innovating the BCC construct, and contributing to ambiguous, exploratory work tied to these future allocation capabilities.

This is a highly technical, research-oriented role designed for a DSR who thrives in uncertainty, can operate across measurement, allocation, and reporting domains, and is comfortable owning pieces of foundational science and infrastructure rather than narrowly scoped analyses.

This position is critical to maintaining and advancing BCC’s measurement credibility while enabling future research and allocation capabilities. The work will shape how impact is measured, understood, and trusted across Loyalty & Incentives’ partners and clients.

RESPONSIBILITIES

The Data Scientist will be expected to own and contribute across several workstreams, including but not limited to:

Measurement Infrastructure & Science

• Own and evolve meaningful portions of BCC measurement infrastructure, including data assets, pipelines, and validation frameworks
• Advance measurement pipelines to support OBM and other constrained testing environments
• Support enhancements and development of reporting assets as needed.
• Design, evaluate, and document test/control methodologies with many constraints (e.g., limited controls, partial exposure, market-level tests)
• Clearly articulate tradeoffs, assumptions, and limitations in measurement approaches

Research & Discovery

• Support or lead discovery work for LCM as a Promised Benefit, where we aim to understand how our allocation sciences can be redesigned to better drive value across earned households
• Contribute to research efforts with loosely defined problem statements, operating effectively in open-ended discovery phases
• Translate analytical findings into implications for targeting, execution, and measurement strategy

Model & Lifecycle Support (Adjacency)

• Support model lifecycle activities including retraining, monitoring, and maintenance where relevant
• Potentially contribute to forecasting, expectation-adjacent work, or allocation-informed measurement efforts

Cross‑Functional Partnership

• Collaborate effectively with allocation, measurement, product, and engineering partners
• Support cross-functional stakeholders independently by providing clear, well-documented analytical outputs
• Flex between measurement- and allocation-adjacent needs as priorities shift

QUALIFICATIONS, SKILLS, AND EXPERIENCE

• Bachelor or Master's degree in mathematics, statistics, analytics, data science, AI or related discipline
• 2+ years of experience in consulting or professional services;
• 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to stakeholders  
• 2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
• Comfort working in environments with CI/CD, QA rigor, and package development best practices
• Prior exposure to model lifecycle support (maintenance, retraining, monitoring)
• Hands-on experience with experimental design and test/control frameworks, especially in imperfect or constrained environments.
• Ability to reason through analytical tradeoffs and limitations and document them, clearly communicating these learnings with less technical audiences for effective decision making, comfort operating in open-ended, exploratory discovery phases
• Strong statistical and analytical foundations with an applied mindset
• Ability to create computationally efficient solutions
• Data visualization skills and ability to present technical solutions to non-technical audiences
• Strong interpersonal and communication skills.
• Strong analytical, creative problem-solving and decision-making skills
• A natural curiosity that embraces change, experimentation, and learning from failure.
• Proficient in our product’s technology stack (Azure, Databricks, Pyspark)
• Ability to work in a highly collaborative environment and within a cross-functional team.
• Passionate about data, Supervised Learning/Machine Learning. Understanding of AI algorithms is a plus.
• Familiarity of KPM Audience Building best practices is a plus

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Client-provided location(s): Chicago, IL, Cincinnati, OH

Job ID: 8482760002

Employment Type: OTHER

Posted: 2026-03-27T18:31:03