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Data Scientist

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SAP

12d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering

AI generated summary

  • You need a degree in a related field, strong knowledge of AI/ML and mathematics, experience with generative AI, cloud tech, and excellent communication skills to convey complex concepts.
  • You will manage development projects, perform data analysis, implement and validate AI models, collaborate with teams, adopt generative AI solutions, and mentor colleagues on advancements in the field.

Requirements

  • Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related field.
  • Good understanding of AI algorithms, ML, model evaluation, and validation techniques
  • Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc
  • Strong analytical and problem solving skills
  • Specialist in Generative AI and excellent understanding with the capabilities of recent advances in Large Language Models
  • Proficient in any one area of AI/ML streams - Predictive analytics, Speech processing, Text Analytics/NLP, Computer Vision, Machine Translation, generative AI with SQL or NoSQL databases
  • Implement most recent algorithms and approaches for machine learning in collaboration with our Architects/Data scientists
  • Exposure to SAP modules along with prior experience in cloud technologies like BTP, AWS, GCP, etc. is desired
  • 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
  • Strong communication skills to effectively convey complex technical concepts to stakeholders

Responsibilities

  • You'll work on the entire lifecycle of development projects, both customer specific and SAP-defined
  • Collaborate and work with teams spread across geographies and time zones
  • You'll be involved in various aspects of the data science process, including acquiring data, conducting exploratory data analysis, developing proof of concepts with the state of art LLM model, and establishing their performance
  • Implement backlogs for functional and non-functional requirements
  • Evaluate and adopt generative AI based solutions – either through external LLM’s or fine tuning Local LLM’s, independently or minimal support from the experts
  • Must be able to deploy AI models into production systems and ensure scalability and reliability, independently or minimal support from the experts
  • Perform thorough testing and validation of AI models to ensure accuracy and robustness, independently or minimal support from the experts
  • Stay up-to-date with the latest advancements in Gen AI, machine learning, mentor team members and contribute to the team's knowledge-sharing initiatives.

FAQs

What is the primary focus of the Data Scientist role at SAP?

The primary focus is on collaboration and innovation in delivering solutions that help the world run better through data science and AI technologies.

What are the key responsibilities of this position?

Key responsibilities include working on the entire lifecycle of development projects, collaborating with global teams, conducting data analysis, developing proof of concepts with LLM models, deploying AI models, and ensuring their performance and reliability.

What qualifications are required for this role?

Candidates must have a Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field, along with a strong understanding of AI algorithms, machine learning techniques, and proficiency in specific AI/ML streams.

What technical skills are essential for the Data Scientist position?

Essential technical skills include a solid understanding of mathematics related to data science, specialization in generative AI, proficiency in machine learning and data processing, experience with cloud technologies, and familiarity with SQL or NoSQL databases.

Is experience with SAP modules required?

While not strictly required, exposure to SAP modules is desired, along with experience in cloud technologies such as BTP, AWS, or GCP.

Does SAP provide opportunities for learning and development?

Yes, SAP emphasizes a strong focus on learning and development, offering various resources and programs to help professionals enhance their skills and knowledge.

How does SAP ensure a collaborative work environment?

SAP fosters a collaborative environment through its culture, which values diverse perspectives and emphasizes teamwork across geographies and time zones.

What are SAP's policies regarding diversity and inclusion?

SAP is committed to a culture of inclusion, promoting health and well-being, and ensuring all employees feel included and empowered to perform at their best.

Will there be opportunities for mentorship in this role?

Yes, as part of the team, you are expected to stay updated with advancements in Gen AI and mentor team members, contributing to knowledge-sharing initiatives.

What is the expected travel for this position?

The expected travel for this role is 0 - 10%.

SAP

Our purpose is to help the world run better and improve people’s lives.

Technology
Industry
10,001+
Employees
1972
Founded Year

Mission & Purpose

At SAP, our purpose is to help the world run better and improve people’s lives. Our promise is to innovate to help our customers run at their best. SAP is committed to helping every customer become a best-run business. We engineer solutions to fuel innovation, foster equality, and spread opportunity across borders and cultures. Together, with our customers and partners, we can transform industries, grow economies, lift up societies, and sustain our environment. #TheBestRu