Senior Data Scientist

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

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

If so, then 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 will do:

As a Senior Data Scientist in the Customer Analytics team within the Customer Intelligence R&D division at SAS, you will help us build predictive analytics and recommender systems using statistical techniques and machine learning to drive more relevant, targeted and individualized communications to customers on all marketing channels.

You will:

  • Build high-end analytic models, utilizing applied statistics and machine learning techniques, to drive effective marketing and personalized customer experience - e.g., segment discovery, attribution models, recommender systems, etc.
  • Own the full lifecycle of model development from ideation and data exploration, algorithm design, validation, and testing.
  • Collaborate with data engineering teams to prepare and manipulate structured and unstructured data for data discovery and mining from multiple disparate resources.
  • Prototype solutions using varied resources, including SAS software and open source software.
  • Assist in the estimation and scoping for analytical efforts.
  • Work as a mentor with junior members of the staff developing their skills and knowledge.
  • Facilitates discussions with executives and stakeholders to identify analytical opportunities.
  • Communicates key analytic findings to executives and stakeholders.

What we are looking for:

  • Master’s or Ph.D. degree in analytics, mathematics, statistics, or other quantitative field
  • 8+ years of experience using applied statistics, machine learning, probability, data modeling techniques, predictive modeling techniques and in-sample and out-of-sample model assessment
  • Robust examples of using these techniques to solve business problems on large-scale data sets.
  • 6+ years of experience with one or more programming languages such as SAS, Python, R, PySpark, etc.
  • Excellent data exploration and manipulation skills.
  • Excellent quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations.
  • Excellent written and verbal communication skills; ability to work well with peers and leaders across customer intelligence, product management, and engineering organizations.
  • Creative problem-solver who simplifies problems to their core elements.
  • Experience working with technical support on customer related issues

The nice to haves:

  • Any exposure to marketing analytics and web analytics is desirable
  • Experience using cloud platforms such as AWS and Azure for model development and operationalization is desirable.
  • Experience with SAS Viya and CAS is desirable
  • Familiarity with DevOps tools, unit testing and CI/CD workflows including Git
  • Experience with Agile software development practices



  • 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.


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 Pay Transparency notice. 


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.


In order to work at SAS, you must be fully vaccinated against COVID-19. If there is a medical or religious reason preventing you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have an accommodations process in place to evaluate those requests.


All valid SAS job openings are located on the Careers page at SAS only sends emails from verified “” email addresses and never asks for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at before taking any further action.




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