Job Overview Job Description:Key Roles and Responsibilities: Proficient in statistical design of experiments (factorial, response surface modeling, Plackett-Burman, central composite designs, Box-Behnken, etc.) in order to validate proof of concepts in a production environment, protect against selection and/or emergent bias and to allow simultaneous trials without cross-trial interference. While this emphasis for this role is on the application of modern techniques, it is assumed that candidates have a strong grasp of basic statistical concepts and a strong understanding of the theoretical underpinnings of any techniques being utilized. The data models created may be used internally and by business units to solve business problems, create income generating models, or to identify improved business processes for cost savings opportunities. Designs, builds, and analyzes large (e.g. 100s of Terabytes or higher as technology advances) and complex data sets from various structured and unstructured sources while thinking strategically about data use and data design. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, AI- Knowledge Graphs. Coding proficiency required in at least one data science language (Python, R, Scala, and SQL), as well as expertise with modern ML packages and libraries (SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Proficiency in cloud AI technologies desired, as this position implements AI solutions within the target AI architecture led by the Data Council/Data Review Board. Ability to organize and crisply communicate insights from analysis of large data sets in an intuitive manner to non-technical business partners. Job Contribution: Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies.Education: Required master's degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.Experience: Requires 5-8 years of experience.Supervisory: No.Our Lead Data Scientist earn between $158,200 - $237,400. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.Joining our team comes with amazing perks and benefits:Medical/Dental/Vision coverage401(k) planTuition reimbursement programPaid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)Paid Parental LeavePaid Caregiver LeaveAdditional sick leave beyond what state and local law require may be available but is unprotected.Adoption ReimbursementDisability Benefits (short term and long term)Life and Accidental Death InsuranceSupplemental benefit programs: critical illness/accident hospital indemnity/group legalEmployee Assistance Programs (EAP)Extensive employee wellness programsEmployee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phoneApply today.Weekly Hours:40Time Type:RegularLocation:Plano, TexasSalary Range: $158,200.00 - $237,400.00It 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. Job ID R-8186 Date posted 01/31/2024