Data Scientist

**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.

**What you'll do**:

- You will work with a team of highly technical and motivated developers.
- Collaborate and work with teams spread across geographies and time zones.
- You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
- Implement backlogs for functional and non-functional requirements.
- 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 with adequate enablement.

**What you bring**:
Educational Qualification
- Master’s in a highly quantitative field (Machine Learning, Operational Research, Statistics, Mathematics, etc.) preferably from a reputable institution like IITs, IISc, or equivalent.

Work Experience
- 4+ years of industry experience in a data scientist role

Skills and Competencies:

- 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 database
- Prior experience in deploying machine learning models into production
- Experience in working with GPUs to develop models
- Possess strong interpersonal and stakeholder management skills
- Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
- Strong written and verbal communication skills
- Demonstrated the ability to independently develop new concepts and stay current with academic research
- Exposure to SAP modules along with prior experience in cloud technologies like BTP, AWS, GCP, etc. is desired.
- Publications or presentations in recognized Machine Learning and Data Mining journals/conferences
- Identify and translate real world customer problems into feasible technical solutions and implement them independently.

Expectations and Tasks:

- 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 both - internal and external stakeholders on a daily basis
- Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team
- Be up-to-date with latest and best practices in delivering enterprise grade data science solutions
- Build credibility and trust with customers and project teams during project execution
- Demonstrate adaptability and flexibility to manage deadline pressure, ambiguity and change
- Continually enhance existing skills and seek new areas for personal development.
- Collaborate with product owner, architect, fellow developers, quality and user assistance specialists on design, architecture, hands-on coding, testing, etc. to deliver best solutions to our customers
- Work on the latest technology and ensure on-time, high quality solutions
- Embrace lean and agile software development principles
- Perform high-level analysis of any new requirements/change requests to the solution from a technical standpoint
- Analyze the impact of any new requirements on the existing solution
- Work closely with other CIS Engineering team members, SAP Product Development teams, external partners and customer teams to ensure successful project completion

**Meet your team**:
SAP Customer Innovation Services Engineering (Previously known as Innovative Business Solutions (IBSO)) is a global organization dedicated to delivering innov