Senior Data Scientist

1 settimana fa

Roma, Lazio, Italia SAP A tempo pieno

Unlock the Power of Data Science

SAP is seeking a highly skilled Data Scientist to join our team and help us drive innovation in the field of artificial intelligence. As a Data Scientist, you will be responsible for developing and implementing machine learning models to improve the interaction between users and data within our SAP Analytics Cloud Just Ask feature.

Key Responsibilities:

  • Design and implement machine learning algorithms to process and analyze large datasets.
  • Collaborate with cross-functional teams to understand user needs and translate them into effective data-driven solutions.
  • Apply statistical analysis and predictive modeling techniques to build, maintain, and improve on real-time decision systems.
  • Evaluate the effectiveness of user interactions and model performance continuously, iterating on feedback.
  • Engage in knowledge sharing and contribute to the team's collective learning and success.

Requirements:

  • A PhD or equivalent experience in Computer Science, Statistics, Applied Mathematics, or a related field.
  • 4+ years of extensive experience in data science, machine learning, or a related role, with a distinguished record of innovative contributions and leadership in technology development.
  • 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.
  • 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.
  • 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.
  • 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 analyzing large datasets, enabling the extraction of meaningful insights from voluminous data.
  • Mastery of statistical analysis and predictive modeling 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.
  • 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.
  • Exceptional communication, leadership, and mentorship skills, with fluency in English and Italian.

About SAP:

SAP is a global leader in enterprise software and software-related services. Our innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. We are a cloud company with 200 million users and more than 100,000 employees worldwide, committed to personal development and a highly collaborative team ethic.

Why Join SAP?

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. Our team is composed of experts in machine learning, data engineering, and user experience, all working together to drive innovation at SAP Analytics Cloud Just Ask. We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.

Equal Opportunities:

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: Careers@sap.com

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