Senior Data Scientist

Verizon•Basking Ridge, NJ

16d•Hybrid

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. What you’ll be doing... 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. 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.

Requirements

Strong analytical skills
Eager to work in a collaborative environment with global teams to drive ML application in business problems
Develop end to end analytical solutions
Communicate insights and findings to leadership
Work independently and always willing to learn new technologies
Thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions
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

Own and perform specific analytics tasks
Lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager
Drive data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
Analyze structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling
Build and train statistical models and machine learning algorithms
Perform tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc.
Prepare all the supporting documents and reports
Mentor/Guide one to two members in the team on technical aspects as needed