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Principal Engineer-Data Science (Principal Data Scientist)

Remote, USA Full-time Posted 2025-05-22

Role Snapshot:

  • Position: Principal Engineer-data Science
  • Compensation: a competitive salary
  • Company: Workwarp
  • Start Date: Immediate openings available
  • Location: Remote

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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...
Apply cutting edge AI/ML technology to protect customer accounts from account takeovers, illegal SIM Swaps, and Port Outs as well as prevent financial losses resulting from fraudulent activity. Lead projects focused on reducing fraud loss and customer friction involving data analysis, machine learning (ML) modeling and other standard data science techniques. Translate real world problems into solvable ML problems leading to actionable insights. Respond to emerging threats, both internal and external, with proactive monitoring and swift deployment of new controls. Engage with business partners and collaborate with cross functional teams to define and evaluate business problems, design and implement effective, innovative analytical solutions and models with the right choice of technology and level of complexity for the business challenges. Identify, analyze, and interpret trends or patterns in large complex data sets. Translate data into insights and utilize that to implement solutions for business problems. Apply link analysis to identify hidden connections in the data to proactively detect nascent fraud rings. Lead the design and development of ML based anomaly detection and chart overlays. Develop strategies for effective reporting, use graphs, infographics and other tools to visualize data. Monitor analytics & metrics results and take action. Build tools and frameworks to automate data collection. Help define the analytical roadmap, data and technology strategy. Conduct market analysis, research to identify and adopt best in class data science and analytics related technology.
What we’re looking for...
Bachelor’s or foreign equivalent degree in Math, Statistics, Electronic Engineering, Computer Science, or a related field followed by 5 years of progressive, post-baccalaureate experience in the job offered or as a Data Scientist or in a related/similar position. Experience therein to include 5 years performing each of the following skills:
• Predictive Analytics, Machine Learning, Consulting Reporting and Business Development;
• Python including SciKitLearn, numpy, and pandas;
• SQL proficiency;
• Machine Learning Modeling; and
• Data Analytics - Predictive, Prescriptive, Descriptive.
Telecommute role, may work remotely from anywhere in the US.
RATE OF PAY: $163,238 to $213,000 per year.
Must Reference: Job # SHYADP-W.
Where you’ll be working
In this remote role, you'll work from home with occasional in-person trainings and meetings.
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 Apply Job! For more such jobs please click here!

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