Senior Data Scientist: ML Innovator in Cloud & Big Data

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

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.