Data Scientist

Data Scientist - Remote or Hybrid

Nice to meet you!

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.

We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here.

About the job

The Customer Analytics team within the CI 360 R&D organization at SAS is seeking a Data Scientist to develop advanced predictive models, AI-driven solutions, and cutting-edge recommender systems specifically for the marketing technology (martech) industry. The successful candidate will demonstrate robust analytical capabilities, proficiency in machine learning techniques, and a thorough understanding of data-driven decision-making processes.

As a Data Scientist, you will:

• Collaborate with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple disparate resources.
• Build 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.
• Create informative visualizations that intuitively display large amounts of data and/or complex relationships; translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge.
• Routinely use anonymized or encrypted data.
• Prototype solutions using varied resources, including SAS software and open source software.

Required Qualifications

• Three (3) years of relevant experience such as analyzing data, building analytical and/or machine learning models.
• Master’s degree in fields that include strong coverage of applied mathematics and statistics, computer science, engineering, or related fields. PhD in related field preferred.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
• Strong knowledge of applied statistics, probability, data modeling techniques, predictive modeling techniques and in-sample and out-of-sample model assessment.
• Strong aptitude with at least two operating system supported by SAS software.
• Ability to resolve problems with minimal management assistance, escalating when appropriate.
• Ability to communicate with people of various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users.
• Business domain expertise in at least one industry or business area.
• You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.

 Preferred Qualifications

• Modeling experience with SAS and/or Python languages
• Experience using cloud platforms such as AWS and Azure for model development and operationalization

World-Class Benefits  

Highlights include...

• Comprehensive medical, prescription, dental and vision plans. 
• Medical plan options include…
  • PPO with low annual deductible and copays. 
  • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center). 
• Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There’s a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge! 
• An industry-leading 401k plan. 
• Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1. 
• Volunteer Time Off, parental leave and unlimited paid sick days. 
• Generous childcare benefits for all full-time employees 

Diverse and Inclusive

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.

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/Affirmative Action 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: Know Your Rights. Also view the Pay Transparency notice.

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.

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