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Bangalore
What we offer
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!
About the Team
As part of the Customer experience and Solutions (CXS) team, we are based at SAP Labs India, Bangalore, dedicated to the research and development of Software as a Service in the domain of Application Lifecycle Management. SAP Cloud ALM, an offering for cloud-centric customers, provides extensive implementation and operations capabilities for cloud solutions. SAP Focused Run, designed for businesses requiring high-volume system and application monitoring, alerting, and analytics is often hosted by a service provider, on-premise, or in a private cloud. For both these umbrella services, we embed functionalities that leverage insights from Data, using various statistical techniques, including Machine Learning.
We use Python as the core programming language, Kubernetes based Data lake for all ML-Ops, HANA procedures, and so on as backend technologies, and in the front end, we utilize SAP Ui5. A large part of the data is often in the form of Time series and application telemetry. This offers us the opportunity to work on a wide variety of topics such as
- Anomaly detection
- Predictions of potential outages and other failures
- Single and Multivariate forecasts
- Scheduling recommendations
- Intelligent correlations of alerts or events or messages
- Alert root cause detection
- Threshold-less alerting and so on.
Role Information
We are looking for a Data Science Engineer who would collaborate, develop, and implement a variety of use cases by making impactful and effective analyses of Data, applying appropriate Statistical techniques including Machine Learning.
The responsibilities would include studying the data generated by various of our tools and applications, automating data ingestion, researching on existing literature, implementation of model training, testing, serving, creating prototypes, monitoring of ML Data pipelines, and so on, all the while collaborating with other Data scientists of the team and stakeholders such as the Product Owners.
Role Requirements
- Total of 3 to 7 years of relevant industry experience, including recent 2 years with hands-on experience on Data Science-based projects or products.
- B.E. / B.Tech. or M.Tech. in Computer Science / Engineering with credits in Mathematics and Statistics.
- Strong mathematical and analytical skills, with proven records of achievements.
- Implementation experiences and deep knowledge of at least one among Time Series Analysis (preferred though not mandatory), Classification, Reinforcement Learning, Deep Learning.
- Hands-on experience with Python (mandatory).
- Experience with Pandas, Keras, TensorFlow, and various Data mining and Data visualization tools.
- Experience with another programming or scripting language (e.g. Java, JavaScript) or SQL would have added advantage.
- Familiarity with MLOps principles and relevant tools would have added an advantage.
- Good verbal and written communication skills in English.
We are SAP
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.
Our inclusion promise
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: Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com.
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:313198 | Work Area: Software-Design and Development | Expected Travel: 0 – 10% | Career Status: Professional | Employment Type: Regular Full Time |
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