Sr Specialist Data Scientist

AT&T•Plano, TX

4d•$132,600 - $192,100•Onsite

About The Position

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.

Requirements

Bachelor’s degree, or foreign equivalent degree in Data Science, Math, Statistics, Engineering, or Physics.
2 years of experience in the job offered or 2 years of experience in a related occupation.
Applying knowledge in statistical design of experiments.
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.

Responsibilities

Design, build, and analyze large and complex data sets from various structured and unstructured sources.
Apply statistical techniques and advanced visualization tools to understand data structure, trends, and relationships.
Create 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.

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