Job Description

:Data Scientist - HybridNice to meet you!Wexe2x80x99re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.Wexe2x80x99re 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 jobThe 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 industry. The successful candidate will demonstrate robust analytical capabilities, proficiency in machine learning techniques, and a thorough understanding of data-driven decision-making processes. You will work closely with a team of SAS experts with diversified skillset to meet the needs of SAS customers. You will collaborate with R&D and product management teams to improve SAS solutions and analytical products based on customer requirements.You should have a strong passion for solving SAS customer problems and enjoy spending your time and effort on sharpening your skills and extending your knowledge. You should be curious and adaptable xe2x80x93 this is an evolving space, things will change. Finally, we expect you to be authentic and accountable xe2x80x93 work hard, be committed to excellence, and deliver results.As a Data Scientist you will,

• 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.
• Masterxe2x80x99s degree in fields that include strong coverage of applied mathematics and statistics, computer science, engineering, or related fields.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
• Strong knowledge of applied statistics, probability, data modelling techniques, predictive modelling techniques and in-sample and out-of-sample model assessment.
• Ability to resolve problems with minimal management assistance, escalating when appropriate.
• Strong coding skills, preferably in Python and SAS
• Excellent written and verbal communication skills
• Ability to perform in both team and individual environments
• Right to work in the UK
• Youxe2x80x99re curious, passionate, authentic and accountable. These are our

and influence everything we do.Preferred qualifications

• Modelling experience with SAS and/or Python languages
• Experience using cloud platforms such as AWS and/or Azure
• Experience with containers and Kubernetes

Diverse and InclusiveAt SAS, itxe2x80x99s not about fitting into our culture xe2x80x93 itxe2x80x99s 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 itxe2x80x99s essential to who we are. To put it plainly: you are welcome here.Additional Information: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.Job level 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.SAS only sends emails from verified xe2x80x9csas.comxe2x80x9d 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#LI-DR1#SAS

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