SAP Recruitment For Data Scientist | New Vacancy 2024
A Data Scientist analyzes complex data sets to extract meaningful insights that inform business decisions. They use statistical analysis, machine learning, and data visualization techniques to identify trends and patterns. Key duties include records series, cleansing, and processing, in addition to growing predictive fashions. Proficiency in programming languages like Python or R, revel in huge facts technology, and strong analytical skills are important for this function. Collaboration with cross-purposeful groups is commonplace.
Position: Data Scientist
Salary: Not Disclosed
Company: SAP
Location: Bengaluru, Karnataka
Job Type: Permanent, Full-time
About Company:
SAP (Systems, Applications, and Products in Data Processing) is a major worldwide organization software program corporation focusing on enterprise solutions. Founded in 1972, SAP affords integrated software answers that assist corporations manage their enterprise procedures, which include finance, supply chain, and human assets. Its flagship product, SAP ERP, supports real-time records processing and choice-making. SAP’s solutions purpose is to enhance operational performance, foster innovation, and permit companies to adapt to market adjustments effectively. The business enterprise serves diverse industries worldwide.
Role and Responsibilities Of Data Scientist:
As a Data Scientist at SAP, you’ll be a part of a rather technical and inspired crew chargeable for turning in modern answers that meet the precise enterprise wishes of customers. Your position will operate on the entire lifecycle of improvement tasks, from the analysis and specification of customer-unique commercial enterprise necessities to the layout, implementation, maintenance, and operation of solutions.
Key obligations encompass:
Collaboration: Work intently with groups unfold across unique geographies and time zones.
Development Lifecycle: Engage in the complete improvement lifecycle of projects, including client-unique and SAP-described initiatives.
AI/ML Modules: Design, increase, install, and reveal green AI/ML modules for complex enterprise packages.
Agile Practices: Adhere to SAP’s agile engineering practices and procedures, taking possession of your code from ideation to development, throughout the entire stack and through QA and aid.
Technological Enablement: Stay updated on multiple topics and technologies, with good enough enablement supplied.
Required Skills and Qualifications:
Educational Background: A Master’s degree in an especially quantitative area which includes Machine Learning, Operational Research, Statistics, or Mathematics from reputable establishments like IITs, IISc, or equivalent.
Experience: At least 4 years of industry enjoy in a facts scientist function.
Mathematical Proficiency: A solid understanding of the arithmetic related to data technological know-how, inclusive of probability, data, and linear algebra.
Machine Learning Expertise: Extensive information on various system mastering algorithms and ideas used to build predictive models.
Domain Knowledge: In-intensity expertise in as a minimum of the following data technology domain names: Text Analysis and Natural Language Processing, Neural Networks and Deep Learning, Signal Processing, Image/Video Processing and Recognition, or Reinforcement Learning.
Technical Skills: Hands-on revel in computational applications like Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, and TensorFlow, as well as skillability in SQL and relational databases.
Production Experience: Prior enjoyed deploying device mastering models into manufacturing and operating with GPUs to broaden fashions.
Communication Skills: Strong written and verbal communique talents, with the ability to simplify complicated technical ideas for extensive audiences.
Interpersonal Skills: Strong stakeholder management abilities, with the potential to build credibility and trust with clients and assignment teams.
Benefits at SAP:
Health and Wellness: Access to scientific, dental, imaginative, and prescient insurance, together with well-being applications and fitness subsidies, promoting normal health and well-being.
Work-Life Balance: Flexible working hours and faraway work alternatives, permitting personnel to manipulate their non-public and expert lives successfully.
Career Development: Opportunities for non-stop gaining knowledge through training packages, workshops, and mentorship, supporting career boom and talent enhancement.
Retirement Plans: Competitive retirement savings plans with organization contributions, ensure long-term financial protection for personnel.
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