What are the responsibilities and job description for the Principal Engineer-AI Science (Senior Engineer Consultant-Data Science) position at Verizon?
Job Details
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 V Team Life.
What you'll be doing...
Independently work on data science projects leveraging big data and deliver innovative technical solutions to solve problems and improve business outcomes. Work closely with machine learning engineers to deploy models in production both in real time and in batch process and systematically track model performance. Assist engagement with key business stakeholders in discussion on business strategies and opportunities. Be a subject matter expert on machine learning and predictive modeling. Drive technical innovation through active research and applications of new theories, techniques, and technologies. Apply deep learning and large language models to drive business growth and profitability.
What we're looking for...
Bachelor's or foreign equivalent degree in Statistics, Data Science, Business analytics, or a related field, and 4 years of experience in the job offered or as a Machine Learning Engineer, Data Engineer, Data Scientist, or in a related/similar position. Experience therein to include 4 years performing the following:
Hybrid role, ability to work from home.
RATE OF PAY: $175,000 -$231,000 /year
Must Reference: Job # YKDUR-W
Where you'll 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
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.
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 V Team Life.
What you'll be doing...
Independently work on data science projects leveraging big data and deliver innovative technical solutions to solve problems and improve business outcomes. Work closely with machine learning engineers to deploy models in production both in real time and in batch process and systematically track model performance. Assist engagement with key business stakeholders in discussion on business strategies and opportunities. Be a subject matter expert on machine learning and predictive modeling. Drive technical innovation through active research and applications of new theories, techniques, and technologies. Apply deep learning and large language models to drive business growth and profitability.
What we're looking for...
Bachelor's or foreign equivalent degree in Statistics, Data Science, Business analytics, or a related field, and 4 years of experience in the job offered or as a Machine Learning Engineer, Data Engineer, Data Scientist, or in a related/similar position. Experience therein to include 4 years performing the following:
- Machine Learning and Statistical Modeling;
- Data management and analysis in database and Hadoop;
- Python or R; and
- big data processing and analysis using Spark, and SQL.
Hybrid role, ability to work from home.
RATE OF PAY: $175,000 -$231,000 /year
Must Reference: Job # YKDUR-W
Where you'll 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
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $175,000 - $231,000
