Padmi

Princ Engr-Data Science

ChennaiPosted 3 months ago
Data Science And StatisticsStaff+Full Time; Regular
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As a member of the Verizon team, you will be responsible for leading the design and implementation of processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. Your role will involve working with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions. Additionally, you will manage a small team of employees, planning work and dividing tasks among team members. Key Responsibilities: - Manage the design and implementation of business data models, providing support and guidance to your team. - Collaborate with internal teams and peers to determine business needs and develop data models and solutions. - Determine the team's strategy and oversee execution, driving standards and principles for model development, validation, and implementation. - Drive continuous improvement by leveraging the latest industry knowledge and methods in AI and data modeling. - Ensure the organization meets leadership's metrics, including administrative, auditory, and KPIs. Qualifications Required: - AI / conversational analytics / NLP - SQL - Google Cloud Platform / BigQuery - Looker Core / Studio - Python - Teradata - Machine Learning - Project Management - Data Mining - Statistical Models - Business Intelligence (BI) - Software Development - Apache Hadoop - Business Analysis - Agile Methodology - Product Management - Cloud Computing - Cross-Functional Team Leadership - Predictive Modeling - Portfolio Management - Program Management When you join Verizon, you will be part of a community where you can freely share your ideas and work towards driving innovation and impact in the world. Verizon is committed to empowering its employees to learn, grow, and thrive while connecting people to what brings them joy. As an equal opportunity employer, Verizon evaluates qualified applicants based on their skills and qualifications, without regard to race, gender, disability, or any other legally protected characteristics. As a member of the Verizon team, you will be responsible for leading the design and implementation of processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. Your role will involve working with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions. Additionally, you will manage a small team of employees, planning work and dividing tasks among team members. Key Responsibilities: - Manage the design and implementation of business data models, providing support and guidance to your team. - Collaborate with internal teams and peers to determine business needs and develop data models and solutions. - Determine the team's strategy and oversee execution, driving standards and principles for model development, validation, and implementation. - Drive continuous improvement by leveraging the latest industry knowledge and methods in AI and data modeling. - Ensure the organization meets leadership's metrics, including administrative, auditory, and KPIs. Qualifications Required: - AI / conversational analytics / NLP - SQL - Google Cloud Platform / BigQuery - Looker Core / Studio - Python - Teradata - Machine Learning - Project Management - Data Mining - Statistical Models - Business Intelligence (BI) - Software Development - Apache Hadoop - Business Analysis - Agile Methodology - Product Management - Cloud Computing - Cross-Functional Team Leadership - Predictive Modeling - Portfolio Management - Program Management When you join Verizon, you will be part of a community where you can freely share your ideas and work towards driving innovation and impact in the world. Verizon is committed to empowering its employees to learn, grow, and thrive while connecting people to what brings them joy. As an equal opportunity employer, Verizon evaluates qualified applicants based on their skills and qualifications, without regard to race, gender, disability, or any other legally protected characteristics.

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