When you join VerizonVerizon is one of the world's leading providers of technology and communications services, transforming the way we connect around the world. We're a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together-lifting up our communities and striving to make an impact to move the world forward. If you're fueled by purpose, and powered by persistence, explore a career with us. Here, you'll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.What you'll be doing...We use digital data as the fuel to propel us beyond our competition. As a Senior Data Scientist, you'll lead projects that develop and perform complex analyses using Big Data technologies. You'll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay ahead of the game. Your work will help us meet our customers' needs and make it even easier for them to do business with us.Performing analyses to find actionable insights.Developing systems, applications, and visual dashboards.Conducting and guiding others through system usage assessments.Ensuring data quality and promoting process improvement.Handling security threats, and growing the dependability and reliability of our network through tools and software.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.Six or more years of relevant work experience.Experience as a data scientist, analyst, or statistical modeler.Even better if you have one or more of the following:Degree in business intelligence and analytics, computer science, or mathematics.Master's degree.Experience with visualization tools, like Tableau.Experience with Data Warehousing or Teradata SQL.Knowledge of distributive computing tools, like Hive or Spark.Experience with programming languages, like Java, Python, or Scala.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 workingIn 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 Hours40Equal Employment OpportunityWe'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.#J-18808-Ljbffrby Jobble

<h3>When you join Verizon</h3>Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.<h3>What you’ll be doing...</h3>As a Data Scientist, you will own and perform specific analytics tasks as well as lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager.Responsibilities include:<ul><li>Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.</li><li>Directing the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.</li><li>Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.</li><li>Building and training statistical models and machine learning algorithms.</li><li>Performing tasks related to Operationalization - e.g. wrapper script, REST service, Trigger, Monitoring etc.</li><li>Preparing all the supporting documents and reports.</li><li>Mentoring/Guiding one to two members in the team on technical aspects as needed.</li></ul><h3>What we’re looking for...</h3>You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML application 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 are able to interact with various partners and multi-functional teams to implement data science driven business solutions.You'll need to have:<ul><li>Bachelor's degree or four or more years of work experience.</li><li>Four or more years of relevant work experience.</li><li>Experience in advanced analytics/ predictive modelling in a consulting role.</li><li>Experience with all phases of end-to-end Analytics project, such as (but not limited to): Ingestion, Munging, Model Building, Validation, Operationalization, Monitoring.</li><li>Experience building models using statistical techniques such as Supervised and Unsupervised Machine Learning models, Deep learning, Text classification etc.</li><li>Experience with Python, Sql, PySpark, and/or other languages and tools.</li><li>Experience with visualization tools such as Tableau or Power BI.</li></ul>Even better if you have one or more of the following:<ul><li>Master's degree.</li><li>Experience working in analytical projects in telecom domain.</li><li>Accuracy and attention to detail.</li><li>Experience in data lake (hadoop), SQL, ETL.</li><li>Problem solving, analytical, and research skills.</li><li>Excellent verbal and written communication.</li><li>Experience presenting to and influencing functional leaders and partners.</li><li>Ability to work effectively independently and willingness to learn new technologies.</li><li>Experience working with cross-functional teams in a dynamic environment.</li></ul>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.<h3>Where you’ll be working</h3>In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.<h3>Scheduled Weekly Hours</h3>40<h3>Equal Employment Opportunity</h3>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 <a href="https://mycareer.verizon.com/life-at-verizon/work-culture/">our diversity and inclusion</a> page to learn more.

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Data Scientist Verizon Jobs

Senior Data ScientistMay 3, 2024

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Senior Data ScientistApril 29, 2024

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Senior Data ScientistApril 9, 2024