Engr III Cslt-Data Science

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 #VTeamLife. What you’ll be doing... Provides support for implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. Supports the building of large and complex data sets from spurious sources while thinking strategically about uses of data and how data use interacts with data design. Provides support to generate hypotheses and create analytical models that answer impactful business questions.

• Meet with the business clients to gather solutions requests and data requirements to provide feedback to the data science team.
• Translating business KPIs into governed, reusable data models, optimizing SQL performance, and collaborating with stakeholders to deliver actionable, self-service insights
• Implement statistical data quality procedures around new data sources.
• Perform data validation tests and updating procedures to ensure models are successfully implemented.
• Create reports and visualizations based on the results of the models to share with the business clients.
• Monitor the developed data models and systems, identifying any possible issues that need to be resolved.
• Gain operational efficieny by adopting AI tools What we’re looking for... 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 allows you to deliver solutions that make a huge 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.

You’ll Need To Have

• Bachelor’s degree or four or more years of work experience.
• Experience in data modeling, building interactive visualizations, and leveraging the LookML platform for semantic layer development.
• Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
• Experience as a data scientist, analyst, or statistical modeler.
• Experience in data modeling using the Looker / LookML platform
• Experience in visual science / dashboard design principles.
• Experience in applying statistical ideas and methods to data sets to answer business problems.
• Experience with programming language SQL Even better if you have one or more of the following:
• Experience in Digital Analytics tools like Adobe Analytics, Google Analytics etc,.
• Familiarity with digital adoption metrics, value realization analytics is an added advantage
• Knowledge of third-party analytic tools.
• Experience with Google Cloud Platform.
• A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating PowerPoint presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners. 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 assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.