Data Science Consultant

Verizon; New York (NY); Hybrid; USD 81,000 - 155,000; Full time

Job summary

Verizon is seeking a data-driven analyst to partner with consumer marketing in the Mobile segment. You will mine internal and external data to forecast sales, identify product opportunities, and support strategic decisions throughout the lifecycle of new offerings.

You'll craft dashboards and visuals, collaborate with Network Eng, Finance, and Marketing, and translate insights into actionable recommendations while maintaining data-driven decision-making across the organization.

Qualifications

• Experience in advanced analytics, measurement, or data science.
• Experience with Looker & Qlik or similar visual analysis tools.
• Experience with data modeling using LookML in Looker.

Responsibilities

• Analyze internal and external data to identify product opportunities.
• Forecast sales and provide decision support through product lifecycle.
• Develop executive dashboards and standardized reporting frameworks.
• Translate analyses into clear business recommendations.
• Collaborate with partners across teams to align analytics with goals.

Skills

Data analysis

LookML

Looker

SQL

Python

Machine Learning

A/B testing

Dashboards

Data visualization

Education

Bachelor's degree

Master's degree

Tools

Looker

Qlik

BigQuery

Vertex AI

Looker Studio Pro

SQL

Job description

When you join Verizon

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you'll be doing...

Working side‑by‑side with the consumer base marketers in the Mobile consumer business. We're looking for someone who can use data to craft strategy and solutions to join our team. You'll analyze internal and external data to help identify and quantify the potential of new products, forecast sales, and provide decision support through the life of the product. You will be working with multiple partners and balancing their needs to craft the direction of our new offerings and enable the product team to bring the best new products to market.

• Evaluating and enhancing marketing campaign effectiveness using advanced analytics, A/B testing frameworks, and ROI analysis.
• Partnering with AI&A team to support the development of sophisticated ML models to predict customer behavior, churn patterns, sales transactions, and revenue.
• Performing advanced analytics, modeling and data mining to develop insights on our business.
• Developing unique customer lifecycle strategies and cross-BAU behavioral churn programs to proactively identify retention opportunities.
• Assisting in the creation of executive dashboards, standardized reporting frameworks, and compelling visualizations to ensure data-driven decision-making is embedded across the organization.
• Translating complex analytical findings into clear business recommendations, managing the Cost of Retention (COR) within financial guidance and supporting strategic marketing plans.
• Monitoring performance and reporting ongoing and ad-hoc metrics in reports, presentations, and dashboards targeted to the situation and audience.
• Partnering with teams like Network Engineering, Digital Operations, Finance, and Marketing to align analytical solutions with business goals.

What we're looking for...

You believe that proven data should be behind every important decision. You are a numbers person but you also have a strategic approach. You bring both a business perspective and an understanding of the marketplace—and not just theory and numbers. You have a knack for understanding and visualizing just the right way to share data and practical insights so that people can understand. People trust you based upon your thoughtful and detailed analyses.

You’ll need to have:

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
• Experience in advanced analytics, measurement, or data science.
• Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
• Experience with data modeling using LookML in the Looker platform.
• Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro).
• Experience with programming language SQL.
• Experience translating business problems into analytical solutions.

Even better if you have one or more of the following:

• A Master's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Statistics, or a related STEM field.
• Experience in applying statistical ideas and methods to data sets to answer business problems.
• Experience with programming languages, like Python, JS, or R.
• Experience with Machine Learning algorithms and tools.
• Demonstrated knowledge of Omni Channel metrics and data domain principles.
• Experience in visual science / dashboard design principles.
• Foundational understanding of Generative AI principles, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) frameworks (e.g., LangChain, LlamaIndex, vector databases).
• A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners.
• Innovative, proactive, and collaborative approach to problem-solving.

Where you'll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a 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 and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $81,000.00 - $155,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $89,000.00 - $155,000.00.