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SAP • São Leopoldo, BR

Data Scientist | Data Engineer - SAP Concur

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8.6

/10

Transparency ranking

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Job Description

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.g. 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: 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.

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: 419954 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Company benefits

beach with umbrella
25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
beach with umbrella
Accrued annual leave – 1 day/year up to 30 days (UK)
handshake
Open to job sharing
skier
Sabbaticals
baby
Adoption leave – Up to 52 weeks (UK)
hourglass flowing sand
Open to part time work for some roles
leftwards arrow with hook
Returnship
chart with upwards trend
Equity packages
family
Shared parental leave
woman feeding baby
Enhanced maternity leave
nest with eggs
Fertility benefits
pregnant woman
Pregnancy support
child
On-site childcare
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Share options
car
Electric Car Salary Sacrifice
weight lifter
Gym membership
tooth
Dental coverage
hospital
Health insurance
stethoscope
Private GP service
green heart
Mental health platform access
ring buoy
Life assurance
ring buoy
Life insurance
moneybag
Enhanced pension match/contribution
man feeding baby
Enhanced paternity leave
airplane
Travel insurance
bike
Cycle to work scheme
weight lifter
On-site gym
bike
Bike parking
face with thermometer
Enhanced sick pay
sos
Emergency leave
rescue worker’s helmet
Enhanced sick days
car
Company car
hourglass flowing sand
Open to part-time employees
desert island
Work from anywhere scheme
baby
Childcare credits
nest with eggs
Fertility treatment leave
mending heart
Pregnancy loss leave
heart decoration
Carer’s leave
baby
Nursery salary sacrifice scheme
family
Family health insurance
womens
Women’s health leave
moneybag
Annual bonus
moneybag
401K
moneybag
Referral bonus
moneybag
Joining bonus
money with wings
Employee discounts
gift
Loyalty programme
moneybag
Non-contributory pension
elevator
Personal development days
moneybag
Personal development budgets
brain
L&D budget
nerd face
Language lessons
books
LinkedIn learning license
mortar board
Study support
mortar board
Studying sabbaticals
brain
Lunch and learns
elevator
In house training
alien monster
Hackathons
gift
Professional subscriptions
mortar board
Further education support

Working at SAP

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107,000

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