Marketing Data Science Specialist

Superior Plus Propane Talent AcquisitionWayne, PA

About The Position

Superior Propane is looking for an experienced Marketing Data Science Specialist with a strong career focus on data-driven problem-solving and collaboration. In this role (with room to grow), you’ll spend about 80% of your time working hands-on with data—designing and applying advanced analytics, AI, and predictive modeling to unearth insights for our marketing and customer-centric strategies. The remaining 20% will focus on stakeholder engagement: presenting clear, direct findings to various departments, directors, and occasionally senior leadership. If you thrive on detailed execution, can pivot quickly to solve real business problems, and enjoy guiding decision-makers with strategic storytelling, this could be your ideal fit.

Requirements

  • A bachelor’s degree (or demonstrated hands on experience) in Data Science, Statistics, Social Sciences, Computer Science, Marketing, or a related field is preferred.
  • Solid experience (minimum 3 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.
  • Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.
  • Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).
  • Ability to roll up your sleeves to handle data end-to-end, with the ability to see the bigger picture purpose and scope of the project, and craft a strategic approach.
  • Curious and adept at quickly diagnosing business needs, using data creatively, and delivering immediate results.
  • Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.
  • Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.
  • Organized, self-driven, and comfortable collaborating with stakeholders virtually.
  • Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.

Nice To Haves

  • Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset

Responsibilities

  • Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.
  • Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.
  • Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.
  • Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).
  • Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.
  • Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.
  • Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.

Benefits

  • Competitive Compensation
  • Total rewards package
  • Various flexible schedules
  • Access to LYRA for comprehensive support and resources for physical, mental, financial and social well-being
  • Continuous focus on professional development
  • Opportunities for training & career growth
  • Performance-based incentives
  • Comprehensive benefits
  • Retirement plans with matching contributions
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