Sr Associate Data Scientist

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers. 

If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

Our team, Applied AI and Modelling Team (AAIM), nestled within SAS R&D, leads the design, development, and implementation of AI Models for SAS customers across many industries such as manufacturing, CPG, retail, and life science among others.

In this role, you’ll turn cutting-edge AI, computer vision, and machine learning into AI Models that address real customer challenges and deliver measurable impact. You’ll grow by collaborating with a diverse team of SAS experts, engaging directly with business and executive leaders, and building innovative products and demonstrations that help customers see and realize, what’s possible.

• Builds high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data driven insights that address immediate business problems and objectives.
• Drive the development, testing, and implementation of AI models to solve specific customer uses.
• Creates intuitive visualizations that clearly communicate large datasets and complex relationships and translates analytical insights into compelling reports and presentations for internal and external customers.
• Be encouraged to participate in open-source projects on behalf of SAS. 
• Ensure all applicable security policies and processes are followed to support the organization’s secure software development goals. 
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

• Master’s in computer science, Engineering, Data Science or related quantitative field
• Strong research background in computer vision model development
• Experience in using open-source solutions to solve computer vision and machine learning problems.
• Strong coding skills, preferably in Python or SAS
• Experience in PyTorch or TensorFlow
• Excellent written and verbal communication skills
• Ability to perform in both team and individual environments
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications. 

• Experience with containers and Kubernetes
• Experience in deployment using Nvidia CUDA Toolkit
• Experience in practical implementations of computer vision projects in industry and communicating directly with customers at different levels

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

To qualify, applicants must be legally authorized to work in the United States. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. 

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.

#SAS