Data Scientist

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.

You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You will work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operational efficiency. You will work closely with a team of talented data scientists, data and machine learning 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 analytical models to predict customer behavior and business events. You'll then present the results to various business partners such as marketing, finance, and our customer relationship management group.

• Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.

• Complete the design and development of machine learning/statistical models and ensure best performance.

• 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.

• Build strong working relationships and develop deep partnership with the business.

• 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.

With an eye towards improving performance and predictability, you like the science of analytics and 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.

• Bachelor's degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Experience in machine learning and statistical modeling.

• Hands-on programming experience in Python and SQL.

• Master's degree in a quantitative field or equivalent.

• Knowledge of tree-based classification and regression techniques such as boosting and random forest.

• Knowledge of ML Python frameworks, packages, and libraries (e.g., pandas, NumPy, scikit-learn, PyTorch).

• Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others.

• Experience with GCP, AWS or other cloud computing services.

• Experience in both batch and streaming models in production.

• Experience with Recommendation and Ranking systems.

• Experience with Deep Learning, NLP, Transformers, and chatbot technology.

• Knowledge of math, probability, statistics, and optimization.

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.

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.