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AT&T Sr Specialist Data Analysis - Data Engineering in Bengaluru, India

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.

As a senior specialist Data Analysis, you will add value to data engineering processes and tasks along with working on data science models. Knowledge on Gen AI framework and LLMs is a value add to the projects.

Roles and responsibilities:

• Participate in client engagements in enhancing current statistical models and develop new models for business needs or design of experiments for test/control analysis and business process trials

• Consult with cross-functional teams on matters relating to Machine Learning, knowledge discover, data modeling, and analytics

• Create and enhance predictive models/ML and analyze data for feature engineering

• 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

• Work with management to prioritize business and information needs

• Perform Ad Hoc Data Analysis and reporting for model performance

• Locate and define new process improvement opportunities for testing and predictive modeling

Qualifications – Required / Desired Skills

• Experience in developing a variety of machine learning models algorithms in a commercial environment with a track record of creating meaningful business impact.

• Proficient with Pyspark, noSQL and Python and distributed programming

• Expertise working in MongoDb, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deployment

• Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews.

• Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas.

• Experience in client engagements, interpreting client’s business challenges, and recommendations for statistical analysis solutions (i.e. analytical consulting and solution design)

• Experience in presentation design, development, delivery, and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts.

• Experience in Gen AI, LLM Workflow, Graph RAG etc. is an added advantage.

• Flexible to work in shift model.

Weekly Hours:


Time Type:



Bangalore, Karnataka, India

It 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 will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status