Data Science Consultant

Verizon•Alpharetta, GA
•$81,000 - $155,000•Hybrid

About The Position

The Data Science Consultant works alongside consumer-based marketers in Verizon’s Fios and FWA markets, using internal and external data to shape product strategy and solutions. The role identifies and quantifies opportunities for new products, forecasts sales, and provides decision support throughout the product lifecycle. It partners with multiple teams to balance stakeholder needs, guide new offerings, and help product teams bring products to market. The consultant applies advanced analytics, measurement, modeling, and data mining to understand business performance and customer behavior. The role supports campaign optimization, machine-learning model development, retention strategies, executive reporting, and strategic marketing plans. It translates complex findings into practical business recommendations and aligns analytical solutions with business objectives.

Requirements

  • Bachelor’s degree or four or more years of work experience.
  • Four or more years of relevant experience, demonstrated through work and/or military experience or specialized training.
  • Relevant work experience in advanced analytics, measurement, or data science.
  • Experience with Looker and Qlik or similar visual analysis tools, optimization, analytics, large data sets, project management, and development of visually compelling interactive dashboards.
  • Experience with data modeling using LookML in the Looker platform.
  • Experience with Google Cloud Platform, including BigQuery, Vertex AI, Looker, LookML, or Looker Studio Pro.
  • Experience with SQL.
  • Experience translating business problems into analytical solutions.

Nice To Haves

  • Master’s degree in Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related STEM field.
  • Experience applying statistical ideas and methods to data sets to answer business problems.
  • Experience with programming languages such as Python, JavaScript, or R.
  • Experience with machine-learning algorithms and tools.
  • Demonstrated knowledge of omnichannel metrics and data-domain principles.
  • Experience with visual science or dashboard design principles.
  • Foundational understanding of Generative AI principles, large language models, and retrieval-augmented generation frameworks such as LangChain, LlamaIndex, and vector databases.
  • Ability and enthusiasm for communicating analytical findings and insights with integrity to audiences at all levels, including reviewing raw output with colleagues and creating clear, compelling presentations and storyboards for strategic business partners.
  • Innovative, proactive, and collaborative approach to problem-solving.

Responsibilities

  • Evaluate and improve marketing campaign effectiveness using advanced analytics, A/B testing frameworks, and ROI analysis.
  • Partner with the AI&A team to support machine-learning models that predict customer behavior, churn patterns, sales transactions, and revenue.
  • Perform advanced analytics, modeling, and data mining to develop business insights.
  • Develop customer lifecycle strategies and cross-BAU behavioral churn programs to identify retention opportunities proactively.
  • Assist in creating executive dashboards, standardized reporting frameworks, and visualizations that support data-driven decision-making.
  • Translate analytical findings into business recommendations, manage Cost of Retention within financial guidance, and support strategic marketing plans.
  • Monitor performance and report ongoing and ad hoc metrics through reports, presentations, and dashboards suited to the situation and audience.
  • Partner with Network Engineering, Digital Operations, Finance, Marketing, and other teams to align analytical solutions with business goals.

Benefits

  • Medical, dental, and vision coverage.
  • Short- and long-term disability insurance.
  • Basic and supplemental life insurance and AD&D insurance.
  • Identity theft protection.
  • Pet insurance and group home and auto insurance.
  • Matched 401(k) savings plan.
  • Up to 8 company-paid holidays per year and up to 6 personal days per year.
  • Paid parental leave.
  • Adoption assistance.
  • Tuition assistance.
  • Potential premium pay, such as overtime, shift differential, holiday pay, or allowances, depending on the role.
  • Up to 15 days of vacation per year for newly hired employees, increasing with additional service.
  • Other incentives and an award-winning total rewards package.
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