Senior Data Scientist, CRM & Loyalty Analytics

Bond Brand Loyalty

44d • $110,000 - $145,000 • Hybrid

About The Position

We're looking 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.

Requirements

• 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

Nice To Haves

• Experience with Snowflake or another modern cloud data warehouse (BigQuery, 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

Responsibilities

• 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
• 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

Benefits

• Flexibility: A hybrid work model and flexible vacation offers agility to meet the needs of our global business and workforce, allowing us to inspire the best from our people.
• Moments that matter: Social events like F1rst Thursdays, Kick-Off gatherings, and holiday parties make it easy to build relationships and have fun.
• Health & Wellness support: Competitive healthcare and wellness benefits that care for both body and mind including Medical, Dental, Vision, Health Care Spending Account, Employee Assistance Program, access to 24/7 virtual healthcare and/or consultation services for you and your family — all available from your first day.
• Future-focused: Retirement planning assistance with company matching.
• Career development: Access to learning programs, mentorship, stretch projects, and internal mobility to keep you moving forward.
• Celebrating your impact: Recognition programs for individual and team achievements, peer-nominated awards, and service anniversaries.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed