Data Science Consultant

Verizon • Basking Ridge, NJ

4d • Hybrid

About The Position

The Data Science Consultant works alongside consumer base marketers in Verizon’s Mobile consumer business, 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. The consultant partners with multiple teams to help guide new offerings and enable product teams to bring products to market.

The position applies advanced analytics, experimentation, modeling, data mining, and visualization to inform marketing and business decisions. It supports customer behavior and churn prediction, customer lifecycle and retention strategies, executive reporting, and the translation of complex analysis into actionable recommendations. The role also monitors performance and aligns analytical solutions with business goals across Network Engineering, Digital Operations, Finance, and Marketing.

This is a hybrid role with a defined work location, including work from home and at least three days per week in the office. The scheduled weekly hours are 40.

Requirements

• Bachelor’s degree or four or more years of work experience.
• Four or more years of relevant experience, demonstrated through work experience and/or military experience.
• Experience in advanced analytics, measurement, or data science.
• Experience with Looker and Qlik or similar visual analysis tools, optimization, analytics and large data sets, project management, and developing 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 and 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 to communicate analytical findings and insights with integrity to all levels, from discussing raw output with colleagues to 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 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.
• Help create executive dashboards, standardized reporting frameworks, and visualizations that support data-driven decisions.
• 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 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 coverage
• Short- and long-term disability insurance
• Basic and supplemental life insurance
• AD&D insurance
• Identity theft protection
• Pet insurance
• Group home and auto insurance
• Matched 401(k) savings plan
• Up to 8 company-paid holidays per year
• Up to 6 personal days per year
• Paid parental leave
• Adoption assistance
• Tuition assistance
• Other incentives and an award-winning total rewards package
• Potential premium pay, such as overtime, shift differential, holiday pay, and allowances, depending on the role
• Up to 15 days of vacation per year for newly hired employees, increasing with additional service

What This Job Offers

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