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About the Role

We are seeking a highly skilled Data Scientist to lead initiatives in advanced analytics, predictive modeling, and generative AI for our Sales Operations org. This role combines statistical expertise, machine learning, and cutting-edge generative models to deliver actionable insights that drive strategic decisions across multiple business areas. You will collaborate with cross-functional teams to optimize revenue, improve operations, and empower sales and marketing professionals by leveraging data-driven solutions and AI to minimize manual tasks.

Responsibilities

Develop and deploy predictive models using machine learning algorithms (e.g., XGBoost, Random Forest) to address business challenges such as customer segmentation and revenue forecast.
Build end-to-end ML pipelines from data ingestion to model deployment, ensuring scalability and reliability.
Create robust time-series forecasting models for revenue, demand, and operational metrics using techniques like ARIMA, Prophet, Bayesian methods, and hybrid approaches.
Partner with finance, sales, and operations teams to integrate forecasts into strategic planning and decision-making processes.
Design and implement generative AI solutions (e.g., LLMs, GANs) for business applications such as information retrieval, workflow automation, and AI-driven decision systems.
Collaborate with data engineering teams to design and maintain scalable data pipelines using tools like Airflow, KNIME, or custom shell scripting.
Leverage big data frameworks (e.g., Snowflake, Hadoop, Spark) for efficient data processing and storage.
Perform exploratory data analysis to uncover patterns and insights from structured and unstructured data sources.
Develop visualizations using tools such as Plotly, Matplotlib and Seaborn to communicate findings effectively to stakeholders.
Work closely with business leaders, data engineers, and BI teams to align on business needs and deliver impactful solutions.
Monitor model performance post-deployment and iterate on models to ensure continued business impact.
Stay updated on emerging technologies in AI, machine learning, and generative models.
Experiment with new tools and techniques to enhance team capabilities and drive innovation.

Requirements

Minimum of 3+ years of experience in data science or related fields.
Demonstrated ability to deliver end-to-end ML projects from start to finish.
Experience with version control tools like Git and GitHub.
Ability to translate technical insights into actionable business strategies.
Strong communication skills to effectively collaborate with cross-functional teams.
This role is not eligible for visa sponsorship.

Skills

SQL
Python
Statistics
Machine learning algorithms
XGBoost
Random Forest
ARIMA
Prophet
Bayesian methods
LLMs
GANs
Airflow
KNIME
Snowflake
Hadoop
Spark
Plotly
Matplotlib
Seaborn
Scikit-learn
TensorFlow
PyTorch
UNIX shell scripting (Bash, Zsh)
Git
GitHub

Location

Austin, TX

Work Type

Hybrid

Experience Level

3+ years

Education Level

Bachelor’s degree (Master’s preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.

Benefits

AMD benefits at a glance.

About the Company

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems.
Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary.
When you join AMD, you’ll discover the real differentiator is our culture.
We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives.
Join us as we shape the future of AI and beyond.
Together, we advance your career.

Equal Opportunity

AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law.
AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.
We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.