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Demonstrated knowledge or experience with Machine Learning, Data Science, and Data Engineering principles and related technologies such as R, Python, SQL etc. Knowledge of data warehouse, data lakes, and cloud architecture (Teradata, GCP, AWS etc.
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Experience as a data scientist, analyst, or statistical modeler. As a Data Scientist, you'll lead projects that develop and perform complex analyses using Big Data technologies.
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The Artificial Intelligence & Data (AI&D) Organization is an exciting new center of excellence supporting all of Verizon, reporting into the Global Network & Technology team. This role requires the person to be an experienced analytics leader with deep hands-on experience in statistical analysis, predictive modeling, customer analytics, and data visualization.
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As a Senior Data Scientist, you'll lead projects that develop and perform complex analyses using Big Data technologies. Five or more years of active experience in Data management, analysis and visualization to realize absolute and incremental commercial gains.
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Proven experience with data engineering and ETL techniques using data from a wide variety of data sources. The primary focus will be on improving customer interactions, marketing strategies, and operational efficiency through the effective utilization of AI/ML and data-driven insights delivered through Pega decisioning.
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In this role, you will play a key role in designing, implementing, and optimizing data-driven decision strategies using Pega Decisioning solutions. The marketing technology team is all about using data and automation as the fuel to propel our sales and marketing interactions beyond our competition.
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Experience with Data Warehousing or Teradata SQL. We use digital data as the fuel to propel us beyond our competition. Defining problems, collecting data, establishing facts and drawing conclusions.
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At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Experience in data ETL from different data sources, at different scales (big data and small data), and of different formats; Cloud computing experience a plus.
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As a Data Scientist on the team you will work side-by-side with an experienced team to develop cutting edge AI/ML Models and solutions to tackle some of Verizon's biggest challenges. Partner with in-house data strategy experts to design analytically ready datasets by stitching customer data across multiple platforms and incorporating business rules.
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Facilitating Cross-functional Collaboration: Serve as a bridge between IT, Data Warehouse, marketing science, and business stakeholders to ensure alignment on data-driven decisioning projects and strategic goals.
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Driving Continuous Improvement: Monitor and improve data quality and performance of decisioning strategies, identifying opportunities for AI/ML innovation to advance our personalization strategy.
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You will be joining the Analytics & Insights - Data Science team within FPAS that is focused on providing wide variety of ML and optimization solutions in Credit and Marketing Investments including Loan Decisions, Promotions and Pricing by applying advanced analytics techniques.
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