Customer Marketing Data Science Specialist

Rochester, NY (Remote)

$85K/yr – $105K/yrMid Level3+ years expFull time

Posted 1 month ago

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Job Summary

Own data-enabled decision making by turning complex analytics into business impact, partnering with marketing and BI to drive segmentation, campaigns, and retention through a disciplined test-and-learn approach.

  • End-to-End Analytics Ownership: Define problems, deliver insights, and secure business adoption across teams.
  • Cross-Functional Influence: Shape decisions with data through collaboration across marketing, BI, IS, and analytics partners.

Job Description

Responsibilities

  • End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through 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

Requirements

  • 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 communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences
  • Comfortable partnering with and influencing stakeholders, with a proactive, curious, and outcome-driven mindset that balances hands-on execution with big-picture thinking

Nice to Have

  • Certifications in analytics or AI/ML are an asset

Benefits

  • Culture of collaboration, respect, and open communication
  • Competitive compensation and total rewards package
  • Flexible schedules and work-life balance
  • Access to state-of-the-art tools and technologies
  • LYRA platform for well-being resources
  • Opportunities for training and career growth
  • 24/7 safety mindset across organization
  • Comprehensive benefits and retirement plans with matching contributions

Marketing Team

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