Senior Data Scientist

Job Description:

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.

The Data Scientist translates business problems to insights and codes solutions using the following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions.

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.

- Knowledge of the OSI Model and functions of the layers as applied to networking

- Proficiency in Generative AI including ChatGPT, Hugging Face Transformers, fine-tuning, RAG, and prompt engineering

Education:

Required Masters degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.

Experience:

Typically requires 3-5 years experience.

Supervisory:

No.

#LI-Onsite  – Full-time office role

Our Senior Data Scientist , earns between $132,400.00-$198,600.00 USD Annual, 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 coverage.

· 401(k) plan

· Tuition reimbursement program.

· Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

· Paid Parental Leave.

· Paid Caregiver Leave.

· Additional sick leave beyond what state and local law require may be available but is unprotected.

· Adoption Reimbursement.

· Disability Benefits (short term and long term)

· Life and Accidental Death Insurance.

· Supplemental benefit programs: critical illness/accident hospital indemnity/group legal.

· Employee Assistance Programs (EAP)

· Extensive employee wellness pro