• Sr Machine Learning Developer

    Job Locations US-NC-Cary HQ
    Requisition ID
    Research and Development
    Visa Sponsorship
    Travel Requirements
  • Overview

    Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?”


    If so, you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences, or answering critical questions. Curiosity is our code, and the opportunities here are endless.


    What we do 

    We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.


    What you’ll do  

    As a Senior Machine Learning Developer in the Advanced Analytics Division at SAS, you will contribute to our leading data mining and machine learning software.


    You will:

    • Possess a strong analytic background and excellent programming skills to develop applications for the areas of data mining and machine learning.
    • You will be responsible for designing, developing and maintaining software in a CI/CD delivery model involving various techniques such as automated machine learning and predictive modeling.
    • Be responsible for building and enhancing applications to address a wide variety of customer needs across various industries.
    • Stay at the forefront of machine learning techniques and data mining methodology, identify appropriate algorithms within SAS, and incorporate these methods into an automated modeling process.
      • These techniques could include feature engineering, hyperparameter tuning for supervised learning algorithms, ensemble modeling, and sampling methods for rare events.
    • Research statistical methodology and computational algorithms.
    • Design software tools for machine learning and data mining.
    • Program and test modules.
    • Author user documentation and papers to communicate the best use of the software.
    • Present to professional audiences about the product and analytical methods.
    • Communicate with other SAS professional staff in Testing, Technical Support, Education, Marketing, and other departments.


    What we’re looking for

    • You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
    • You have a master’s degree in statistics, data science, analytics, operations research, computer science or related quantitative field.
    • 7+ years of experience as a Software Developer.
    • Extensive experience in software development/programming experience using the SAS language.
    • Experience with the Model Studio application of SAS Visual Data Mining and Machine Learning.
    • Strong background in machine learning, predictive modeling, and/or data mining.


    The nice to haves  

    • Experience developing enterprise-quality software.
    • Experience with open source languages such as Python.
    • Experience with Git as a source control system.
    • Familiarity with Cloud Analytic Service Language (CASL).


    Other knowledge, skills, and abilities

    • Excellent written and verbal communication skills.
    • Ability to work both independently and as part of a team.


    Why SAS

    • We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.  
    • Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.


    This position will be seated out of SAS Headquarters in Cary, North Carolina




    SAS looks not only for the right skills, but also a fit to our core values. We seek colleagues who will contribute to the unique values that makes SAS such a great place to work. We look for the total candidate: technical skills, values fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.


    Additional Information:

    To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the notice Pay Transparency 


    Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. 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.



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