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Senior Data Scientist

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SAP

5d ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Gurgaon

AI generated summary

  • You must have a relevant degree, 6+ years as a senior data scientist, expertise in ML, deep learning, and cloud deployment, plus strong skills in data analysis and model evaluation.
  • You will design, develop, and monitor AI/ML modules, analyze complex datasets, collaborate with teams, and support implementation of machine learning solutions.

Requirements

  • Bachelors/master’s degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
  • 6+ years of industry experience in a senior 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 and Generative AI.
  • Prior Work experience with SAP BTP is desirable.
  • Identify and translate real world customer problems into feasible technical solutions and implement them independently. Expertise in developing and training advanced machine learning models using frameworks such as TensorFlow, PyTorch, and Keras, ensuring high accuracy and efficiency for a variety of applications.
  • Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models, to solve complex problems in natural language processing, and sequential data analysis.
  • DevOps knowledge (CI/ CD, Jenkins, Pipeline Management) is desirable.
  • Skilled in performing efficient data preprocessing, feature engineering, and augmentation techniques to improve model performance and generalization on unseen data.
  • Preferred: Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop for handling and analysing large datasets, enabling the extraction of meaningful insights from voluminous data.
  • Mastery of statistical analysis and predictive modelling techniques, applying rigorous validation methods (cross-validation, bootstrapping) to assess model reliability and performance.
  • Experience in implementing real-time inference systems, optimizing models for latency and throughput to meet the demands of live data processing and decision-making applications.
  • Proficiency in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS, Google Cloud, Azure) and technologies like Docker and Kubernetes for containerization and orchestration.
  • Familiarity with machine learning model monitoring and management practices, including version control, performance tracking, and updating models in response to drift in data patterns.
  • Strong analytical skills in evaluating the effectiveness of AI/ML models and algorithms through metrics and KPIs, ensuring continuous improvement in alignment with business objectives.
  • Proficient in the ethical and responsible use of AI, including understanding biases in data and models, ensuring privacy compliance (e.g., GDPR), and promoting transparency and fairness in machine learning applications.

Responsibilities

  • In your role as Senior Data Scientist, you will be responsible for the design, coding, testing, and quality assurance in a development team. You will assess and solve issues in new or existing code, and work with high attention to detail, reliability, and efficiency. You will collaborate closely with your team members to ensure success. In your day-to-day you will:
  • Work with a team of highly technical and motivated developers.
  • Design, develop, deploy, and monitor efficient AI/ML modules that drives complex business applications.
  • Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
  • Use data modelling and evaluation strategy to find patterns and predict unseen instances.
  • Collaborate and work with teams spread across geographies and time zones.
  • Liaise with stakeholders to analyse business problems, clarify requirements, and define the scope of the resolution needed.
  • Analyze large, complex datasets to extract insights and decide on the appropriate technique.
  • Research and implement best practices to improve the existing machine learning infrastructure.
  • Provide support to engineers and product managers in implementing machine learning in the product.
  • Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
  • Use exceptional mathematical skills, to perform computations and work with the algorithms involved in this type of programming.
  • Collaborate with data engineers to build data and model pipelines.

FAQs

What is the main responsibility of the Senior Data Scientist role at SAP?

The main responsibility is to design, code, test, and ensure quality assurance within a development team, focusing on building and maintaining efficient AI/ML modules that drive complex business applications.

What skills are necessary for this position?

Necessary skills include a solid understanding of mathematics related to data science, extensive knowledge of machine learning algorithms, experience with frameworks like TensorFlow and PyTorch, proficiency in deploying scalable solutions, and strong analytical skills.

How many years of experience are required for the Senior Data Scientist position?

A minimum of 6 years of industry experience in a senior data scientist role is required.

Is experience with SAP BTP important for this role?

Yes, prior work experience with SAP BTP is desirable for this position.

What frameworks should a candidate be familiar with for machine learning model development?

Candidates should be familiar with frameworks such as TensorFlow, PyTorch, and Keras for developing and training advanced machine learning models.

What level of education is required for the Senior Data Scientist role?

A Bachelor’s or Master's degree in computer science, machine learning, data science, or related fields is required.

Are there any preferred skills for this position?

Yes, familiarity with big data processing frameworks such as Apache Spark and Hadoop, as well as DevOps knowledge including CI/CD and Jenkins, is preferred.

Does SAP offer support for diversity and inclusion in the workplace?

Yes, SAP fosters a culture of inclusion and is committed to ensuring that everyone feels included and can contribute their best.

What is the expected travel requirement for this role?

The expected travel for this role is between 0% to 10%.

Can you describe the team culture within the SAP PCP Cross Technology and Architecture unit?

The team culture is dynamic and passionate, emphasizing collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.

Are there opportunities for continuous learning and professional development?

Yes, SAP has a strong focus on learning and development, providing employees with opportunities for personal growth and skill enhancement.

How does SAP ensure the ethical use of AI in its projects?

SAP is committed to the ethical and responsible use of AI, which includes understanding biases in data, ensuring privacy compliance, and promoting transparency and fairness in machine learning applications.

What kind of support is available for individuals with disabilities during the application process?

SAP provides accessibility accommodations to applicants with physical and/or mental disabilities and encourages them to reach out for support during the application process.

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