Principal Data Scientist

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... This position will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. It will lead 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. To improve performance and predictability, you like the science of analytics. Developing resolutions to complex problems, and 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: Leading engagement with key business stakeholders in a discussion on business strategies and opportunities. Building strong working relationships and develop deep partnerships with the business. Leading large portfolios of data science projects and deliver innovative technical solutions to solve problems and improve business outcomes. Leading the design and development of machine learning/statistical models and ensure best performance. Working closely with engineers to deploy models in production both in real-time and in batch process and systematically track model performance. Being a subject matter expert on machine learning and predictive modeling and a mentor to junior data scientists. 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 multi-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. Six or more years experience in practicing machine learning and data science in business. Solid foundational quantitative knowledge and skills. Extensive training in math, statistics, physical science, engineering, or other related fields is required. Experience in leading large-scale data science projects and delivering from end to end. Deep technical expertise in machine learning and statistical modeling. Strong knowledge of tree-based classification and regression techniques such as boosting and random forest. Expert knowledge of ML Python frameworks, packages, and libraries (e.g., pandas, numpy, scikit-learn, pytorch). Strong hands-on programming experience with demonstrated expertise in Python. Strong expertise in SQL programming. Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others. Experience with GCP, AWS, or other cloud computing services. Strong communication and interpersonal influencing skills. Excellent problem-solving and critical-thinking capabilities. Even better if you have: Master's degree in a quantitative field or equivalent. A Ph.D. in Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, or Data Science is preferred. Experience with Deep Learning, NLP, Transformers, and chatbot technology is a big plus. Experience with Recommendation and Ranking systems. Experience with R, Scala, or Java is preferred. 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 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. 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 page to learn more.

Created: 2024-11-13