Senior Data Scientist - Customer Innovation Services (CIS)

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. 

 

 

** This is a hybrid job opportunity requiring you to work three times a week in SAP Newtown Square office. **

 

What you'll do

 

• You will work with a team of highly technical and motivated architects and developers, collaborating with teams spread across geographies and time zones.
• You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. 
• Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications.
• Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
• You will work on multiple topics and technologies.
• Conceptualize, design and deliver high quality solutions and insightful analysis.
• Work on gathering data and requirements, participate in solution scoping and architecture, research and prototyping innovative models.
• Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact.
• Interact with internal and external stakeholders as required.
• Handle multiple projects as an individual contributor and be a multiplier by actively mentoring junior resources within the team.
• Up-to-date with latest and best practices in delivering enterprise grade data science solutions.
• Ability to proactively resolve problems focusing on teamwork, results, and people.
• Identify and translate real world customer problems into feasible technical solutions and implement them independently.

 

What you bring

 

• Bachelor's or Master’s degree in a highly quantitative field (Machine Learning, Operational Research, Statistics, Mathematics, etc.).
• Five plus years of industry experience in a data scientist role.
• Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc.
• Extensive knowledge of various machine learning algorithms and concepts used to build predictive models.
• In-depth knowledge in at least 2 of the following data science domains:
  • Text Analysis and Natural Language Processing
  • Neural Networks and Deep Learning
  • Signal Processing, Image/Video processing and recognition
  • Reinforcement Learning
• Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
• Highly proficient in SQL and good knowledge of relational databases.
• Prior experience in deploying machine learning models into production.
• Experience in working with GPUs to develop models.
• Strong written and verbal communication skills.
• Demonstrated ability to independently develop new concepts and stay current with academic research.
• Exposure to SAP modules along with prior experience in cloud technologies on platforms like Azure, AWS, GCP and SAP Business Technology Platform is a plus.

 

Meet the team

 

What do you think about being part of an innovative, dynamic, and collaborative development environment, helping world-class enterprises to solve their most complex business challenges, blaze disruptive new trails and bring their company’s vision to life?

 
At SAP Customer Innovation Services Engineering team, with cloud mindset, embedded in architecture and technology, we will build cloud solutions that meet future needs, whether for integration, data models, intelligent technologies, or platform requirements. It is pivotal that we consider all elements essential for building solutions part of the Intelligent En