Data Science Consultant

Verizon • Basking Ridge, NJ

6d • Hybrid

About The Position

The Data Science Consultant works alongside consumer base marketers in Verizon’s Fios and FWA markets, using internal and external data to shape strategy and solutions. The role identifies and quantifies the potential of new products, forecasts sales, and provides decision support throughout the product lifecycle. It works with multiple partners to help guide new offerings and enable product teams to bring products to market.

The consultant applies advanced analytics, modeling, data mining, experimentation, and reporting to support marketing, product, and retention decisions. The role collaborates with AI&A and teams across Network Engineering, Digital Operations, Finance, and Marketing, translating analytical results into practical business recommendations and supporting strategic plans.

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 developing 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.
• Knowledge of omnichannel metrics and data-domain principles.
• Experience with visual science and dashboard design principles.
• Foundational understanding of Generative AI, large language models, and retrieval-augmented generation frameworks such as LangChain, LlamaIndex, and vector databases.
• Ability and interest in communicating analytical findings with integrity to all levels, from reviewing raw output with colleagues to creating presentations and storyboards for strategic business partners.
• Innovative, proactive, and collaborative approach to problem-solving.

Responsibilities

• Evaluate and improve marketing campaign effectiveness through advanced analytics, A/B testing frameworks, and ROI analysis.
• Partner with the AI&A team to support development of 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 complex analytical findings into clear 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 tailored 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 insurance.
• 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.
• Up to 15 days of vacation per year for newly hired employees, increasing with additional service.
• Potential incentive-based compensation and premium pay, depending on the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level