Data Science Consultant
About The Position
The Data Science Consultant works side-by-side with 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. It works with multiple partners to balance business needs, guide new offerings, and help product teams bring products to market. The consultant evaluates marketing effectiveness, supports machine-learning model development, performs advanced analytics and data mining, develops customer lifecycle and churn strategies, and creates dashboards and reporting. The position translates analytical findings into business recommendations, monitors performance, manages Cost of Retention within financial guidance, and collaborates across Network Engineering, Digital Operations, Finance, and Marketing. This is a hybrid role with a defined work location, working from home and a minimum of three days per week in the office. 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, 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 in 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 interest in communicating analytical findings and insights 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 enhance 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.
- Assist in creating executive dashboards, standardized reporting frameworks, and visualizations to 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 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, vision, short- and long-term disability, 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, and allowances, depending on the role.
- Up to 15 days of vacation per year for newly hired employees, with additional vacation as service grows.
- Other incentives and an award-winning total rewards package.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
