Senior Data Scientist, CRM & Loyalty Analytics

We'relooking for a senior analytics professional who can step in and immediately strengthen how we build, scale, and deliver customer analytics for some of the world's most recognized brands. This is a high-impact, hands‑on role — you'll be developing reproducible analytical methodologies, building predictive models, and helping shape the next generation of capabilities on our analytics team.

You'll work closely with our internal product and strategy teams to translate business questions into rigorous, scalable analytical solutions. You won't just run analyses — you'll build the frameworks and pipelines that make our insights repeatable, reliable, and ready to operationalize.

This role is ideal for someone coming from a CRM, media, or customer analytics background who wants to apply their modeling and data engineering skills in the loyalty and customer experience space. Over time, you'll have the opportunity to help us build entirely new service capabilities — particularly in marketing analytics, lifecycle analytics, and CRM optimization.

Sr. Consultant, Client Analytics

Must-Haves

• 5–8+ years of experience in customer analytics, CRM analytics, marketing analytics, or a related quantitative field
• Strong proficiency in SQL and Python for data analysis, feature engineering, and model development
• Demonstrated experience building segmentation, targeting, and/or predictive models (e.g. propensity, churn, LTV, lookalike)
• Track record of developing reproducible, well‑documented analytical methodologies and model prototypes that can be handed off to engineering teams for productionization
• Experience working with large‑scale customer or transactional datasets
• Ability to work independently, manage competing priorities, and deliver high‑quality work with minimal oversight
• Strong communication skills — you can explain complex methodology to non‑technical stakeholders clearly and concisely

Strong Nice‑to‑Haves

• Experience with Snowflake or another modern cloud data warehouse (Big Query, Databricks, Redshift)
• Hands‑on experience with digital/behavioral analytics platforms (Google Analytics, Adobe Analytics, Amplitude, Mixpanel, or similar)
• Background in CRM lifecycle analytics — campaign measurement, journey analytics, contact strategy optimization
• Familiarity with the loyalty, retail, or QSR industries
• Experience mentoring or developing junior analysts
• Comfort working in a consulting or agency environment with multiple concurrent projects

Immediate Impact (First 6 Months)

• Develop and refine customer segmentation, targeting, and propensity models that drive measurable business outcomes for clients
• Build reproducible analytical methodologies and model prototypes in SQL and Python, documented and structured for handoff to data engineering teams for pipeline productionization
• Partner with product and strategy teams to translate client needs into well‑scoped analytical approaches, and collaborate with data engineering to ensure smooth model‑to‑production workflows
• Establish best practices for methodology documentation, model validation, and analytical standards within the analytics team
• Contribute to active client projects across loyalty, retail, and QSR verticals

Longer‑Term Growth

• Help build net‑new capabilities in marketing analytics, CRM analytics, and customer lifecycle measurement
• Bring expertise in digital and behavioral data (e.g., Google Analytics, Adobe Analytics, Amplitude, or similar platforms) to expand our analytical toolkit
• Serve as a subject matter expert and informal mentor, helping upskill a team of 10+ analysts across modeling, SQL/Python, and analytical best practices
• Contribute to the development of proprietary analytical frameworks and methodologies
• Potentially grow into client‑facing responsibilities as the role evolves

Use of Artificial Intelligence (AI):
Bond uses AI tools during parts of the screening, assessment, and selection process, supporting a fair and efficient hiring process. We welcome applications from all qualified candidates; however, only those selected for an interview will be contacted.

Vacancy Type:
This posting is for a newly created…