Senior Data Scientist
When you join Verizon
You want more out of a career. A place to share your ideas freely even if theyre 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 V Team Life.
What you'll be doing
You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You will lead data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business.
Youll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition and revenue growth. Youll then present the results to various business partners such as marketing, finance, and our customer relationship management group.
Independently working on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes
Being able to complete the design and development of machine learning/deep learning models and ensure best performance
Working closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance
Assisting engagement with key business stakeholders in discussion on business strategies and opportunities
Building strong working relationships and develop deep partnerships with the business
Being a subject matter expert on machine learning and predictive modeling
Driving technical innovation through active research and applications of new theories, techniques, and technologies
What we're looking for
You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and cross-functional teams to implement data science-driven business solutions.
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.
Solid foundational quantitative knowledge and skills; extensive training in math, statistics, computer science, data science, physical science, engineering, or other related fields
Experience in practicing machine learning, deep learning, and data science in business
Even better if you have one or more of the following:
A Masters or Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field
3+ years of experience in developing models and algorithms independently, writing your own code, developing strategy for algorithmic experimentation, and deploying the model in production.
Knowledge of AI/ML models, frameworks(pytorch, tensorflow, etc.) and libraries/packages/APIs (e.g., scikit).
Experience in data management and data analysis skills. Strong expertise in SQL skills.
Hands-on computing/programming skills; proficient in Python, Pyspark, and Linux Shell script
2+ years of experience in scaling AI in areas like personalization, Deep learning, NLP, computer vision, Generative AI, etc.
Ability to explain both the code and the underlying math used in algorithms/models.
Experience in both batch and streaming models in production.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above.
Where youll be working
In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.
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.
Apply Now
You want more out of a career. A place to share your ideas freely even if theyre 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 V Team Life.
What you'll be doing
You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You will lead data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business.
Youll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition and revenue growth. Youll then present the results to various business partners such as marketing, finance, and our customer relationship management group.
Independently working on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes
Being able to complete the design and development of machine learning/deep learning models and ensure best performance
Working closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance
Assisting engagement with key business stakeholders in discussion on business strategies and opportunities
Building strong working relationships and develop deep partnerships with the business
Being a subject matter expert on machine learning and predictive modeling
Driving technical innovation through active research and applications of new theories, techniques, and technologies
What we're looking for
You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and cross-functional teams to implement data science-driven business solutions.
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.
Solid foundational quantitative knowledge and skills; extensive training in math, statistics, computer science, data science, physical science, engineering, or other related fields
Experience in practicing machine learning, deep learning, and data science in business
Even better if you have one or more of the following:
A Masters or Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field
3+ years of experience in developing models and algorithms independently, writing your own code, developing strategy for algorithmic experimentation, and deploying the model in production.
Knowledge of AI/ML models, frameworks(pytorch, tensorflow, etc.) and libraries/packages/APIs (e.g., scikit).
Experience in data management and data analysis skills. Strong expertise in SQL skills.
Hands-on computing/programming skills; proficient in Python, Pyspark, and Linux Shell script
2+ years of experience in scaling AI in areas like personalization, Deep learning, NLP, computer vision, Generative AI, etc.
Ability to explain both the code and the underlying math used in algorithms/models.
Experience in both batch and streaming models in production.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above.
Where youll be working
In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.
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.
Apply Now