Senior Data Scientist
About The Position
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. As a Senior Data Scientist you will own and perform specific analytics tasks as well as lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager.
Requirements
- 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.
- Four or more years of experience in advanced analytics/ predictive modelling , quantitative modeling, statistics, or data mining.
- Experience in 3rd party B2B data such as firmographics, contact details, technographics, and buyer intent signals.
- Experience utilizing GenAI/LLM tools (e.g., Claude Code) to accelerate software delivery and development velocity.
- Experience with all phases of end-to-end Analytics project, such as (but not limited to): Ingestion, Munging, Model Building, Validation, Operationalization, Monitoring.
- Experience building models using statistical techniques such as Supervised and Unsupervised Machine Learning models, Deep learning, Text classification etc.
- Knowledge of Python, Sql, PySpark, Scala and/or other languages and tools.
Nice To Haves
- Master's degree.
- Experience working in analytical projects in telecom domain.
- Accuracy and attention to detail.
- Experience in data lake.
- Problem solving, analytical, and research skills.
- Excellent verbal and written communication.
- Experience presenting to and influencing functional leaders and partners.
- Ability to work effectively independently and willingness to learn new technologies.
- Experience working with cross-functional teams in a dynamic environment.
Responsibilities
- Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
- Directing the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.
- Analysing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.
- Building and training statistical models and machine learning algorithms.
- Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc.
- Preparing all the supporting documents and reports.
- Mentoring/Guiding one to two members in the team on technical aspects as needed.
Benefits
- 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.
- 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
- premium pay such as overtime, shift differential, holiday pay, allowances, etc.
- up to 15 days of vacation per year
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What This Job Offers
Job Type
Full-time
Career Level
Senior
