· 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 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.
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 is a fair chance employer and does not initiate a background check until an offer is made.
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