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Sr Specialist Data Scientist

Plano, Texas

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create

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Corporate

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JOB LOCATION: 2900 W Plano Parkway, Plano, TX 75075

DUTIES: Design, build, and analyze large and complex data sets from various structured and unstructured sources by leveraging your strategic thinking about data use and design. Apply statistical techniques and advanced visualization tools to understand data structure, trends, and relationships while creating new features or modify existing ones to enhance machine learning model performance. Solve business problems, develop income-generating models, and identify opportunities for cost savings by optimizing business processes. Apply knowledge of Python, R,

Scala, or SQL. Apply experience with big data platforms including Hadoop, Spark, and Databricks. Apply knowledge of cloud technologies including AWS, Google Cloud, and Azure. Utilize machine learning frameworks including Scikit- Learn, Pandas, PyTorch, TensorFlow, Keras, and AutoML tools. Utilize visualization tools including Matplotlib, Seaborn, Tableau, and Power BI. Apply experience with ETL pipelines, workflow schedulers including Apache Airflow, version control systems including Git, and knowledge of both relational and NoSQL databases. Apply knowledge with MLOps practice and containerization tools including Docker, and collaborative environments including Jupyter Notebooks. Apply knowledge in statistical design of experiments, algorithm categories, and modern data engineering practices to drive impactful business insights and solutions. Apply knowledge in statistical design of experiments. Apply knowledge of statistical concepts. Apply knowledge in algorithm categories including Supervised

Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI Knowledge Graphs. Apply knowledge with modern ML packages and libraries including SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and AutoML tools.

REQUIREMENTS: Requires a Bachelor’s degree, or foreign equivalent degree in Data Science, Math, Statistics, Engineering, or Physics and 2 years of experience in the job offered or 2 years of experience in a related occupation applying knowledge in statistical design of experiments and applying knowledge of statistical concepts; applying knowledge in algorithm categories including

Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs; applying Coding knowledge required in at least one of the following data science languages: Python, R, Scala, and SQL; applying knowledge with modern ML packages and libraries including SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and AutoML tools.

Our Sr Specialist Data Scientists earn between $132,600 - $192,100 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

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 programs

· Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Plano, Texas

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.



Job ID R-120484 Date posted 09/03/2026
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Benefits

Invested in your satisfaction and continued success.

We take care of our own here (hint: that could be you). Our benefits and rewards mean we cover some of your biggest needs with some of the coolest offerings. We already think we’re a pretty great place to work. We’re just trying to rack up some bonus points.

Let’s start with the big one: Your work gets rewarded with competitive compensation and benefits. It really does pay to be on our team.

Compensation

Paid Time Off

Our people have class. Literally. We can help you out on approved education costs with our tuition assistance plan.

Tuition
Assistance

Here’s another reason to breathe easy: You and your family get access to excellent medical, dental and vision insurance options.

Insurance Options

Wanna make your friends really jealous? You’ll get discounted access to the latest and greatest AT&T products and services — plus other awesome items, like tickets to live events.

Discounts

You strike us as an over-achiever (don’t worry, it’s a compliment). Our training and development programs are your ticket to expert status in your job.

Training & Development

When the day comes that you get some much needed R&R (not that you’d ever want to leave #LifeAtATT) you’ll know your future is set with the AT&T Retirement Savings Plan (ARSP).

Savings

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Step 4

Welcome! Onboarding
and Training Begins

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