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Senior Data Scientist

84% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Salary: 
110 - 205K yearly
Experience: 
Senior (5-10 years)
Work from: 
Texas (USA), United States

Offer summary

Qualifications:

Bachelor's degree or 4+ years of work experience, Experience in advanced analytics and predictive modeling, Knowledge of Python, SQL, PySpark, Scala.

Key responsabilities:

  • Deploying AI solutions for improving customer experience
  • Developing statistical and machine learning models
  • Analyzing structured and unstructured data
Verizon logo
Verizon XLarge https://www.verizon.com/
10001 Employees
See more Verizon offers

Job description

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Your missions

When you join Verizon

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.

What you'll be doing…

The Artificial Intelligence and Data Network Enablement team is responsible for new AI use cases for the Verizon network, creating new models that improve the customer experience. You’ll use your knowledge of network performance and AI/ML to interface with other teams and executives. You’ll innovate and develop creative and effective ways to change current processes.

  • Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.

  • Directing data gathering, assessing data validity and synthesizing data into large analytics datasets to support project goals.

  • Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.

  • Preparing all the supporting documents and reports.

  • Create Visualizations from modeled data for executive and engineer consumption.

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.

  • Four or more years of relevant work experience.

  • Four or more years of experience in advanced analytics/ predictive modeling in a consulting role.

  • Experience with all phases of end-to-end Analytics project

  • Experience building models using statistical techniques such as Supervised and Unsupervised Machine Learning models, Deep learning, Text classification etc.

  • Knowledge of Python, Sql, PySpark, Scala and/or other languages and tools.

Even better if you have one or more of the following:

  • Master's degree

  • Experience in Wireless Network (Telecom or Routing) experience

  • Experience working in analytical projects in the telecom domain

  • Accuracy and attention to detail

  • Experience in data lake (hadoop), SQL, ETL

  • Problem solving, analytical, and research skills

  • Excellent verbal and written communication

  • Experience presenting to and influencing functional leaders and 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 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.

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

If you are hired into a California, Colorado, Connecticut, Hawaii, Maryland, Nevada, New York, Rhode Island, Washington or Washington, D.C. work location, the compensation range for this position is between $110,000.00 and $205,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • verbal-communication-skills
  • analytical-skills
  • wireless-communications
  • Detail-Oriented
  • collaboration
  • Problem Solving

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