Verizon
Senior AI Science Engineer
Verizon, Alpharetta, Georgia, United States, 30239
When you join VerizonYou 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 V Team Life.
What you'll be doing…This position will drive profitable growth and business innovation by applying cutting edge machine learning techniques and AI technology. It will independently 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.
You’ll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition and revenue growth. You’ll then present the results to various business partners such as marketing, finance, and our customer relationship management group.
With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria enables you to deliver solutions that make a big impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.
The key responsibilities include:
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 relationship and develop deep partnership 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'll need to have:
Bachelor's degree or four or more years of work experience.
Four or more years of relevant work experience.
Even better if you have one or more of the following:
3+ years experience in practicing machine learning, deep learning, and data science in business; Solid foundational quantitative knowledge and skills; extensive training in math, statistics, computer science, data science, physical science, engineering, or other related fields;
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
A Master or Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field is preferred;
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.
Experience in Hadoop, GCP, AWS or other distributed compute services.
Strong communication skills.
Good cross-functional collaboration skills.
Strong analytical and problem solving skills.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be workingIn 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 Hours40
Equal Employment Opportunity ****We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.
What you'll be doing…This position will drive profitable growth and business innovation by applying cutting edge machine learning techniques and AI technology. It will independently 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.
You’ll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition and revenue growth. You’ll then present the results to various business partners such as marketing, finance, and our customer relationship management group.
With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria enables you to deliver solutions that make a big impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.
The key responsibilities include:
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 relationship and develop deep partnership 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'll need to have:
Bachelor's degree or four or more years of work experience.
Four or more years of relevant work experience.
Even better if you have one or more of the following:
3+ years experience in practicing machine learning, deep learning, and data science in business; Solid foundational quantitative knowledge and skills; extensive training in math, statistics, computer science, data science, physical science, engineering, or other related fields;
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
A Master or Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field is preferred;
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.
Experience in Hadoop, GCP, AWS or other distributed compute services.
Strong communication skills.
Good cross-functional collaboration skills.
Strong analytical and problem solving skills.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be workingIn 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 Hours40
Equal Employment Opportunity ****We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.