SAP NS2 AI Scientist- Herndon, VA

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

NS2 COMPANY DESCRIPTION

SAP is the global market leader for business software and related services. SAP National Security Services Inc.® (SAP NS2®) is an independent U.S. subsidiary of SAP.  At SAP NS2, we leverage best-in-breed technologies engineered by SAP to protect the lives, assets and information of Americans.  We offer SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers.

This position requires access to customer data; Must be a U.S. citizen.  SAP NS2 does not offer Visa sponsorships for this role. 

Please note: This role is hybrid, and candidates must be within a commutable distance to our Herndon VA office.

What You'll Do:

• Dive deep into the landscape of Business AI, exploring current trends, methodologies, and best practices.

• Learn and understand SAP NS2's existing systems using SAP AI - Business Transformation Platform (BTP) and identify opportunities for AI and data analytics integration.
• Collaborate closely with various engineering teams to facilitate the adoption of AI and data-driven solutions.
• Engage with customers to gather requirements, understand their challenges, and translate them into actionable AI functionalities, considering the role of data insights.
• Contributes to the design and conceptualization of SAP’s new AI-powered features and products, potentially incorporating data analytics capabilities.

Requirements:

• Proven experience in developing and optimizing machine learning models
• Strong competence with various tools, procedures, and programming languages relevant to machine learning and AI, such as Python, TensorFlow, PyTorch, etc.
• Experience in applying recent research breakthroughs to real-world problems to create business value.
• Ability to obtain and maintain security clearance.

Skills:

• Ability to work independently and collaboratively on projects with moderate complexity.
• Strong problem-solving skills with the ability to enhance existing systems and processes.
• Excellent communication skills to build collaborative work relationships and convey relevant messages clearly and constructively.
• Proficiency in designing and implementing novel machine learning algorithms.
• Understanding of AI ethics and explainability.
• Ability to ensure performance and system scalability through collaboration with development teams.

Personal Attributes:

• Innovative mindset to push the frontiers of machine learning with real data.
• Ability to understand business problems from beginning to end and apply research insights effectively.

Education:

• Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 84900 - 185500 (USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

Requisition ID: 429924 | Work Area:Information Technology  | Expected Travel: 0 - 50% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid