Customer Marketing Data Science Specialist

Customer Marketing Data Science Specialist

Rochester, NY, USA

Wayne, PA, USA

Posted Monday, June 1, 2026 at 6:00 AM | Expires Wednesday, July 1, 2026 at 5:59 AM

We are looking for a Customer Marketing Data Scientist who combines strong technical expertise with the ability to own business problems end-to-end, partner with stakeholders, and drive decisions through data. In this role, you’ll work hands-on with data while also acting as a key thought partner to Marketing and cross-functional teams. Your success will be defined not just by the models you build, but by your ability to translate insights into action and influence strategy.

If you thrive in ambiguity, enjoy solving real business problems, and can clearly communicate data-driven recommendations to non-technical audiences, this could be your ideal fit.

Culture:
Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.

Competitive Compensation:
We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.

Flexibility:
We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.

Technology:
Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.

Employee Assistance Programs:
We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.

Opportunity: A continuous focus on professional development with many opportunities for training & career growth.

Safety Focused:
We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.

What you’ll do:

• End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through to insight delivery and business adoption, ensuring outcomes; not just outputs.
• Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.
• Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.
• Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.
• Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning.
• Technical Execution: Work hands‑on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.
• Cross-Functional Delivery: Collaborate effectively across a geographically dispersed team, ensuring alignment, transparency, and progress.

What you bring:

• Bachelor’s degree (or equivalent hands‑on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field; certifications in analytics or AI/ML are an asset
• 3+ years of experience in marketing, customer analytics, or data science in a business-facing role
• Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact
• Strong problem‑solving skills with the ability to translate ambiguous business questions into structured analytical approaches
• Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets
• Experience working with cloud and data platforms such as Azure and Databricks
• Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively
• Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques
• Ability to connect technical outputs to clear business insights and strategic recommendations
• Strong…