Sr Specialist Data Scientist

JobCubby; Plano, Northern (TX, KY); Hybrid; USD 133,000 - 192,000; Full time

Benefits offered by this job

401(k) plan

Tuition reimbursement

Paid Time Off and Holidays

Paid Parental Leave

Life Insurance

Job summary

AT&T is seeking a Senior Data Scientist in Plano, TX to design, build, and analyze large data sets. You will apply statistical methods, ML frameworks, and visualization tools to understand data structure, trends, and relationships, while improving model performance and unlocking business value.

You will work with Python, R, SQL and big data platforms (Hadoop, Spark, Databricks) on cloud services (AWS, Google Cloud, Azure) in a collaborative environment with Jupyter, Git, and Airflow.

Qualifications

• Requires a Bachelor’s degree or foreign equivalent in Data Science, Math, Statistics, Engineering or Physics.
• 2 years of experience in data science or related roles applying statistical design and ML concepts; experience with Python, R, Scala or SQL.
• Experience with ML packages and libraries such as SciKit-Learn, Pandas, TensorFlow, Keras, PyTorch, and AutoML tools.

Responsibilities

• Design, build, and analyze large data sets from diverse sources to inform business decisions.
• Apply statistical techniques and visualization to uncover insights and drive ML model improvements.
• Develop data-driven income models, identify cost-saving opportunities, and optimize business processes.

Education

Bachelor's degree

Tools

Hadoop

Spark

Databricks

Python

R

SQL

Scikit-Learn

Pandas

TensorFlow

PyTorch

Keras

Tableau

Power BI

Airflow

Docker

Git

Job description

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.

Salary

Our Sr Specialist Data Scientists earn between $132,600 - $192,100 yearly.

Benefits and Perks

• 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

Work Information

Weekly Hours: 40

Time Type: Regular

Location: Plano, Texas

Equal Employment Opportunity

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.