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...Provide Artificial Intelligence (AI)/Machine Learning (ML) Engineering technical and subject matter expertise on data integration, data quality, database architecture, and data governance and support for the Enterprise Data Science portfolio. Responsible for expanding the model building, deployment, monitoring, innovation and research capabilities across the teams. Work closely with a team of data scientists and data engineers in driving the requirements, development, design and implementation of advanced platforms, tools, and systems in support of data science and machine learning initiatives to ensure proper alignment with enterprise initiatives and strategic objectives. Evaluate incoming requests for data science and analytics projects. Collaborate with the business to understand requirements and communicate results. Partner with the data science community to develop tools and methodologies to provide operational support and to interpret large volumes of transactional or other forms of data used for mining and analytics to increase profitability, reduce churn and support new goods and services. Partner with the EDW team to plan and implement data science solutions. Keep abreast of data science and machine learning tools and methodologies, industry trends and competitive landscape to identify new tools, training, and development opportunities. Prepare and communicate executive level presentations focusing on data science, roadmaps, business value, project status and project benefits. Accelerate the data science innovation efforts via technical guidance, solution design and hands on participation in experiments. Drive Big Data architecture and the development of advanced technologies using Google cloud and AWS platforms. Research, design and implement new technologies for delivering leading edge solutions. Work and collaborate with various teams to meet the challenge of the full integration of advanced data science and big data with established (or new) structured and clean data sources for improved business insights and actions. Develop methods, techniques and evaluation criteria in identifying advanced data science solutions, and collaborate with the business to gain competitive advantage in the marketplace. Implement and support data science, data management and tools that enable advanced data science. Enable and support the data science community in their efforts to create models and analytics that promote the initiatives of the business stakeholder community to expand and grow business opportunities and revenue.
What we’re looking for...
Bachelor’s or foreign equivalent degree in Computer Science, Data Science, Electronic Engineering or a related field, and 6 years of progressive, post-baccalaureate experience in the job offered or as a Data Scientist, Data Science Engineer, Big Data Engineer, or in a related/similar position. Experience therein to include:
6 years in the following: data science and data engineering; statistics, Machine Learning, Deep Learning, and Natural Language Processing; SQL, Hive, Python, Spark and Linux; Google Cloud Platform tools including BigQuery, Dataproc, Google Compute Engine, or Cloud Functions; data modeling, programming, data mining, large scale data acquisition, transformation and cleaning of structured and unsecured data; and subject matter expertise in data integration, data quality, database architecture, and data governance.
Hybrid role, ability to work from home.
Must Reference: CBBARS-W
Where you’ll be workingIn 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 Hours40Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Skills Required
- Bachelor's degree or foreign equivalent in Computer Science, Data Science, Electronic Engineering, or a related field.
- Six years of progressive, post-baccalaureate experience in the offered role, Data Science, Data Science Engineering, Big Data Engineering, or a related position.
- Six years of experience in data science and data engineering, statistics, machine learning, deep learning, and natural language processing.
- Six years of experience with SQL, Hive, Python, Spark, and Linux.
- Six years of experience with Google Cloud Platform tools including BigQuery, Dataproc, Google Compute Engine, or Cloud Functions.
- Six years of experience in data modeling, programming, data mining, large-scale data acquisition, transformation, and data cleaning.
- Six years of subject matter expertise in data integration, data quality, database architecture, and data governance.
- Ability to work in a hybrid arrangement with at least three days per week in the office.
Verizon Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.
-
Fair & Transparent Compensation — Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
-
Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
-
Retirement Support — Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.
Verizon Insights
What We Do
Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We're a diverse network of people driven by our shared ambition to move the world forward - collectively building the network America relies on most. Here, we have the ability to learn and grow at the speed of technology, the space to create within every role, and the opportunity to shape a rewarding career.
Why Work With Us
Integrity. Respect. Excellence. Accountability. These are some of the key values at the heart of our Credo. This code of conduct lays out how we show up as a responsible business every day. It is the blueprint that inspires us to live up to the highest standards and defines who we are and how we work.
