Vaga de Data Scientist / Researcher in Machine Learning
1 vaga: | Publicada em 26/04
- A Combinar
Sobre a vaga
Our company culture is focused on helping our employees enable innovation by
building breakthroughs together. 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. Apply now!
As a Data Scientist, you will work within an 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 intelligent document processing, e.g., information
extraction, OCR, and entity recognition. You will apply the state-of-the-art in
deep learning and take one of the richest data sets available in industry to the
next level.
What you'll do:
Explore, understand, and implement the most recent machine learning algorithms and
approaches.
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.
What you bring:
In-depth AI and data science knowledge, with a focus on deep learning.
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.
Critical thinking capability
Tech you'll learn:
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.
We build breakthroughs together
SAP innovations help more than 400,000 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 200 million users and more than 100,000
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, we build breakthroughs, together.
We win with inclusion
SAPs 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:
392744 | Work Area:
Software-Design and Development | Expected Travel:
0 - 10% | Career Status:
Professional | Employment Type:
Regular Full Time | Additional Locations:
#LI-Hybrid.
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