Data scientist

Data Scientist - Hybrid

Nice to meet you!

We’re the leader in analytics. 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 Applied AI & Modelling team is seeking a Data Scientist to develop advanced predictive models and AI-driven solutions specifically for the banking 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 a 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 – this is an evolving space, and things will change. Finally, we expect you to be authentic and accountable – work hard, be committed to excellence, and deliver results.

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; translate data analytics into coherent reports and presentations for internal and external customers with varying degrees of technical knowledge.
• Prototype solutions using varied resources, including SAS software and open-source software.
• Provide support and input for projects and initiatives that contain an analytical component.
• Assist with communicating key analytic findings to stakeholders.
• Assist in the translation of business needs into analytical opportunities.
• Be responsible for the support and maintenance of production analytical models as assigned.

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.
• Strong knowledge of applied statistics, probability, data modeling techniques, predictive modeling techniques, and in-sample and out-of-sample model assessment.
• Strong knowledge and experience in rare-event modeling, e.g., fraud detection.
• Proficiency in SAS programming required.
• Working knowledge of Python or R preferred.
• Familiarity with common *nix command-line utilities and scripting.
• Strong aptitude with at least two operating systems 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 financial services and specifically in payments.
• Right to work in Spain. Must be based in Spain.
• English fluency. Fluency in Spanish is a nice to have.
• You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.

Preferred qualifications:

• Knowledge or experience in some combination of the following: fraud detection, predictive analytics, machine learning, optimization, and statistical theory.
• Ability to manipulate voluminous data sources with differing degrees of structure across disparate sources to generate and communicate actionable insights for internal or external parties.
• Strong interpersonal and communication skills to portray and convey information.
• Existing or developing industry expertise.

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:

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.