Sales Operations Data Scientist — Predictive Analytics & AI

Advanced Micro Devices, Inc.; Austin (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Advanced Micro Devices, Inc. in Austin, TX is seeking a data scientist to lead advanced analytics, predictive modeling, and generative AI initiatives for the Sales Operations organization.

This role collaborates with cross-functional teams to optimize revenue, improve operations, and empower sales professionals with data-driven solutions. The ideal candidate will have strong Python and SQL skills, solid statistics knowledge, and experience delivering end-to-end ML projects, including scalable

Qualifications

• Bachelor's degree in a data-related field; Master's preferred.
• Strong Python and SQL; knowledge of ML libraries required.
• Experience with Scikit-learn, TensorFlow or PyTorch.
• Forecasting with time-series methods and big data tech familiarity.
• End-to-end ML project delivery and version control experience (Git).
• Ability to translate analytics into business strategies.

Responsibilities

• Lead predictive modeling and ML initiatives for Sales Ops.
• Develop end-to-end ML pipelines from data ingest to deployment.
• Create robust time-series forecasts for revenue and demand.
• Design generative AI solutions for business applications.
• Collaborate with data engineering to maintain scalable data pipelines.
• Build visualizations to communicate insights to stakeholders.
• Monitor model performance and iterate to maximize impact.

Skills

Python

SQL

Machine Learning

Time-series forecasting

Big data

Education

Bachelor's degree in Data Science or related field

Master's preferred

Tools

Scikit-learn

TensorFlow

PyTorch

Snowflake

Hadoop

Spark

UNIX shell scripting

Job description

Advanced Micro Devices, Inc. in Austin, TX is seeking a data scientist to lead advanced analytics, predictive modeling, and generative AI initiatives for the Sales Operations organization.

This role collaborates with cross-functional teams to optimize revenue, improve operations, and empower sales professionals with data-driven solutions. The ideal candidate will have strong Python and SQL skills, solid statistics knowledge, and experience delivering end-to-end ML projects, including scalable