[Remote] Customer Marketing Data Science Specialist
Note: The job is a remote job and is open to candidates in USA. Superior Plus Propane is seeking a Customer Marketing Data Scientist who combines strong technical expertise with the ability to own business problems end-to-end. In this role, you will lead analytics initiatives, collaborate with various teams, and translate complex data insights into actionable strategies for marketing and customer engagement.
Responsibilities
- 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
Skills
- Bachelor's degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field
- 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
- Certifications in analytics or AI/ML are an asset
Benefits
- Eligible employees may earn performance-based incentives
- Access to comprehensive benefits and retirement plans with matching contributions
- Various flexible schedules to help you manage your personal and professional commitments effectively
- 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
- Many opportunities for training & career growth
- 24/7 safety mindset that is showcased throughout every facet of the organization
Company Overview
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