Sr Specialist Data Scientist

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

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement

Paid Time Off and Holidays

Parental Leave

Caregiver Leave

Disability Benefits

Life and AD Insurance

Employee discounts

Wellness programs

Job summary

AT&T in Plano, TX is seeking a Senior Specialist Data Scientist to design, build, and analyze large data sets from structured and unstructured sources. You will apply statistical design of experiments and advanced ML techniques to improve model performance and uncover business insights.

You will leverage Python, R, Scala, and SQL, work with Hadoop, Spark, Databricks, cloud platforms (AWS, GCP, Azure), and ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.

Qualifications

• Bachelor’s degree in a relevant field (data science, math, statistics, engineering or physics).
• 2 years of experience applying statistical design of experiments and ML concepts.
• Proficiency in Python, R, Scala or SQL with strong coding ability.
• Experience with ML libraries and big data tools listed above.

Responsibilities

• Design, build, and analyze large data sets from diverse sources.
• Apply statistical techniques and ML to improve model performance.
• Identify business opportunities, optimize processes and cost savings.
• Develop features and data pipelines; work with ETL, Airflow, and Docker.

Skills

Python

R

Scala

SQL

Statistical design

Machine learning

Data analysis

Education

Bachelor's degree in Data Science/Statistics/Engineering/Physics

Tools

Hadoop

Spark

Databricks

Tableau

Power BI

Matplotlib

Seaborn

PyTorch

TensorFlow

Keras

Scikit-Learn

Pandas

Airflow

Docker

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.

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.