Sr Associate Data Analysis

AT&T

Bangalore, Karnataka
Training
Full-time

26 days ago

Job Description:AT&T is one of the leading service providers in the telecommunication sector and propelling it into the data and AI driven era is powered by CDO (Chief Data Office). CDO is empowering AT&T, through execution, self-service, and as a data and AI center of excellence, to unlock transformative insights and actions that drive value for the company and its customers.Employees at CDO imagine, innovate, and unlock data & AI driven insights and actions that create value for our customers and the enterprise. Part of the work, we govern data collection and use, mitigate for potential bias in machine learning models, and encourage an enterprise culture of responsible AI.AT&T’s Chief Data Office (CDO) is harnessing data and making AT&T’s data assets and ground-breaking AI functionality accessible to employees across the firm. In addition, our talented employees are a significant component that contributes to AT&T’s place as the U.S. company with the sixth most AI-related patents. CDO also maintains academic and tech partnerships to cultivate the next generation of experts in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, data privacy, and more.This is an individual contributor role, the ideal candidate should have exposure in technology, fraud management and financial / risk understanding with exceptional qualities in one or more of these areas.Candidate should have exposure of working in product development environment with a proven experience of developing enterprise scale products in a highly agile/scrum environment.As a Senior Associate - Data Analysis you will be the part of the Data, Analytics and AI team and will create advanced analytics, machine learning, and AI solutions to better address our customers’ needs while streamlining our processes and approaching the business in more innovative ways.This role will work on specific projects/initiatives for internal clients This role will contribute to the CDO community, share knowledge and leverage other global colleagues’ experience.Roles and responsibilities:

Create predictive models/ML and DOE/A-B testing areas of production ready ML models hosted across multiple systems.
Develop business context for environment and ML uses/applications and deep knowledge of data inputs, outputs, and statistical testing/modeling
Write/Run data extraction algorithms to acquire data from primary or secondary data sources and ability to describe/direct data requests for representative data necessary for analyses
Develop statistical tests and predictive solutions to make business recommendations for decisioning
Train/develop models, run evaluation experiments, and perform statistical analysis of results, refine and test / validate models in production
Develop understanding of data framework and how it relates to business use, specific process time points, and make recommendations for any new data needs.Coordinate with data engineers to ensure data is representative of analysis solutions.
Use of data analytics and other strategies that optimize statistical efficiency and quality
Interpret data, analyze results using statistical techniques and provide ongoing reports
Identify, analyze, and interpret trends or patterns in complex data sets
Perform Ad Hoc Data Analysis and reporting for model performance

Qualifications – Required / Desired Skills

Advanced degree in one or more quantitative discipline – Operations Research, Stats, Math, Comp Sci, Engineering, Economics or similar
Familiarity with Pyspark, noSQL and Python and distributed programming
Good presentation and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts.
Knowledge / Internship in Gen AI, LLM Workflow, Graph RAG etc. is an added advantage.
Flexible to work in shift model.

Weekly Hours: 40Time Type: RegularLocation: Bangalore, Karnataka, IndiaIt is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.

AT&T

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