What are the responsibilities and job description for the Distinguished Engineer-Data Science position at Verizon?
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...
We are seeking a highly motivated and experienced Distinguished Data Scientist to join our growing team. As a Lead Data Scientist, you will play a crucial role in designing, developing, and implementing cutting-edge data science solutions to address complex business challenges. You will leverage your expertise in machine learning, statistical modeling, and data mining techniques to extract valuable insights from large datasets and drive data-driven decision-making.
Key Deliverables
You’ll need to have:
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...
We are seeking a highly motivated and experienced Distinguished Data Scientist to join our growing team. As a Lead Data Scientist, you will play a crucial role in designing, developing, and implementing cutting-edge data science solutions to address complex business challenges. You will leverage your expertise in machine learning, statistical modeling, and data mining techniques to extract valuable insights from large datasets and drive data-driven decision-making.
Key Deliverables
- FWA Analytics Models: FWA Health Score, Multi Variate Anomaly Detection, FWA forecasting
- TC Analytics: Trusted Connection Knowledge Agent
- Security Health Scores: ZTNA Health Score Model, EUX Health Score Model
- SDWAN Models : Repurpose production models NHS, MACD and TSF for new data sources
- GCP Enablement: Onboard Data and Models in GCP
- Lead end-to-end data science projects: From problem definition and data acquisition to model development, deployment, and performance monitoring.
- Develop and implement machine learning models: Utilizing various techniques such as regression, classification, clustering, deep learning, and natural language processing.
- Data Analysis and Visualization: Analyze and interpret complex data sets, and create visualizations to communicate insights to stakeholders
- Conduct statistical analysis and hypothesis testing: To identify patterns, trends, and insights from data.
- Build and maintain data pipelines: To ensure data quality, consistency, and accessibility for analysis.
- Communicate complex technical findings: To both technical and non-technical audiences through clear visualizations and presentations.
- Collaborate with cross-functional teams: Including product managers, engineers, and business stakeholders to understand requirements and deliver impactful solutions.
- Stay up-to-date with the latest advancements: In data science, machine learning, and artificial intelligence.
- Mentor and guide junior data scientists: To foster their growth and development.
You’ll need to have:
- Bachelor’s degree or four or more years of work experience.
- Six or more years of relevant experience in data science with a focus on machine learning, statistics, and data visualization.
- Strong technical skills in programming languages such as Python, R, or SQL, and experience with machine learning frameworks such as scikit-learn or TensorFlow.
- Ability to lead and communicate complex technical concepts to non-technical stakeholders.
- Experience with data visualization tools such as Tableau, Power BI, or D3.js.
- Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
- Basic understanding for telecom networks such as 4G/5G, LAN, WAN.
- Advanced Degree in a Quantitative Field: Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Certifications in data science, such as Certified Data Scientist (CDS) or Certified Analytics Professional (CAP).
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.
