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You will be updated with latest job alerts via emailJob Description:
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.
Own 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
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
Advanced degree in one or more quantitative discipline Operations Research Stats Math Comp Sci Engineering Economics or similar
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
Experience in client engagements interpreting clients 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.
#DataEngineering
Weekly Hours:
40Time Type:
RegularLocation:
IND:KA:Bengaluru / Innovator Building Itpb Whitefield Rd - Adm: Intl Tech Park Innovator BldgIt 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 is a fair chance employer and does not initiate a background check until an offer is made.
Required Experience:
Senior IC
Full-Time