DATA SCIENTIST | DATA ENGINEER - SAP CONCUR

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.
As a Data Scientist / Data Engineer, you will work within a strong international team of data scientists and data engineers to deliver top-grade machine learning-based cloud solutions into production.
We solve real-world challenges posed by SAP's customers and product units with a focus on central platform services and infrastructure.
You will work with SAP’s internal ML System, our Data Platfom and Machine Learning Environment, build agents and leverage LLMs.
SAP has some of the richest data sets available in the industry.
WHAT YOU'LL DO.
Explore, understand, and implement the most recent machine learning algorithms and approaches.
Help pull, shape and move data to make it available for Machine Learning purposes.
Push the frontiers of what is possible in the area of machine learning with real data.
Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact.
Help to ensure performance, reliability and ongoing improvement of our model deliverables in continuous collaboration with development teams.
QUAL YOU BRING.
In-depth AI and data science knowledge, with a focus on deep learning.
Knowledge about data bases, and scalable means to join and process data.
Strong software engineering skills using Python and machine learning software packages such as Tensor Flow.
Analytical mindset, curiosity and a drive to produce excellent solutions.
Understanding of practical and privacy concerns surrounding AI development.
Fluency in both written and spoken English    Tech you bring.
Mastery of Python and Python libraries for ML (e.
.
Scikit Learn, TensorFlow, pretrained transformers)  Experience with SQL or NoSQL databases.
Your own vision on how SAP applies ML to improve.
TECH YOU'LL LEARN.
The latest development in applied ML and AI in customer-facing products.
Best practices for building functional and compliant ML and AI solutions.
MEET YOUR TEAM As Intelligent Spend and Business Network, we play a crucial role in addressing our customers' end-to-end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain.
Our data science team is a small team with diverse backgrounds which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions.
​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves.
At SAP, you can bring out your best.
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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to the values of Equal Employment Opportunity and provide 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.
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.
EOE AA M/F/Vet/Disability.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID.
| Work Area.
Software-Design and Development  | Expected Travel.
0 - 10%  | Career Status.
Professional  | Employment Type.
Regular Full Time   | Additional Locations.
#LI-Hybrid.
Requisition ID.
Posted Date.
Mar Work Area.
Software-Design and Development Career Status.
Professional Employment Type.
Regular Full Time Expected Travel.
0 - 10% Location.
São Leopoldo, BR,